Data e Norwich

Norwich IT >> Norwich Web Designers, Search Engine Optimisation, Social Media Management, Web Hosting, Norfolk's #1 Google Adwords Professional, PPC Management, Domain Registration, PC Repairs & Data Recovery. Call us on 07769 049797 for a FREE 1 Hour Meeting. A Sketch of Norwich: Including Notes of a Survey of the Town (1833), by William Lester, Jr. History of Norwich, Connecticut, From its Possession by the Indians to the Year 1866 (1874), by Frances Manwaring Caulkins. Old Houses of the Antient Town of Norwich 1660-1800 (1895), by Mary E. Perkins. Norwich: Early Homes and History (1906), by Sarah ... ACCESSING THE DIRECTORY: For contact information for a Norwich employee or student, please use your Outlook directory or the directory located on my.norwich.edu in the top navigation menu. At the direction of the university’s Chief Information Security Officer, the full directory is intentionally not published on the University’s public website (www.norwich.edu). Crooks are exploiting holes in our information economy. Our students work to stop them. Whether they’re focused on computer network security, malware, forensics or cyberinvestigation, students in Norwich’s cybersecurity programs: Bachelor of Science in Computer Security and Information Assurance (CSIA), Bachelor of Science in Cybersecurity online degree completion program and Master of ... Property valuation of E Norwich Street, Milwaukee, WI: 1182, 119, 122, 123, 126, 129, 132, 138, 1401, 1402 (tax assessments) Property valuation of E Norwich Street, Milwaukee, WI: 1005, 1100, 1105, 1109, 1118, 1122, 1125, 1126, 1133, 1136 (tax assessments) Norwich — A Norwich man was arraigned Wednesday in a shooting that took place late Tuesday night near the ArtSpace apartments downtown and sent one victim to the hospital. The incident occurred ... People in Norwich could be able to hire from a fleet of a hundred e-scooters within weeks - if a bid to government for the city to trial the machines is accepted. Kelly STEAM Magnet Middle 25 Mahan Drive Norwich, CT 06360 860-823-4211 860-892-4302 fax Housing units, July 1, 2019, (V2019) X: Owner-occupied housing unit rate, 2014-2018: 50.9%: Median value of owner-occupied housing units, 2014-2018

Councils on Government's Watchlist : Latest Cases per 100K

2020.09.23 12:16 CovidMessenger Councils on Government's Watchlist : Latest Cases per 100K

Councils on Government's Watchlist : Latest Cases per 100K
Attached are the cases per 100K for each council in England currently on the government's watchlist - note that cases per 100K is not the only driver of watchlist status - latest cases per 100k for all councils in England is published here: https://www.covidmessenger.com/coronavirusliveupdate/
The data is up to an including Sept 17 as this is the most recent date for which reliable council level data is available.
For those not already familiar, there are three different "levels" on the government watchlist:
Area of Intervention: Areas where additional restrictions and interventions are deemed necessary to reduce the prevalence of the virus. This is the highest risk category, requiring the most support.
Area of Enhanced Support: Areas at risk of intervention where additional support and resources are being provided to help control the spread of the virus e.g. epidemiological expertise, additional mobile testing capacity etc.
Area of Concern: Areas with high rates of new infection where extra precautions are likely e.g. additional testing in care homes, engagement with high risk groups etc.
Usually an area joins the watchlist at the lowest level, as an "area of concern" and depending how the local outbreak progresses, either upgrades or downgrades in status over time.
But last week saw a number of councils added to the highest risk tier - an Area of Intervention - from not being on the watchlist at all the previous week. The councils were:
Oadby and Wigston
Warrington
Halton
Wolverhampton
South Ribble
Chorley
North Tyneside
West Lancashire
County Durham
Wyre
Fylde
Northumberland
Lancaster
Ribble Valley
If you look at the daily and weekly cases in many of these areas over the latter part of August and early September it is a surprise (to me anyway) that they were not on the watchlist already.
In better news, its also great to see that a number of councils were removed from the watchlist (all had been "Areas of Concern" the prior week):
Great Yarmouth
Norwich
Swindon
Breckland
South Norfolk
King's Lynn and West Norfolk
Broadland
North Norfolk
(Randomly, I had also prepared a table of cases per 100K for councils in Greater London for a colleague which I have attached here in case anyone is interested in that also. The same for every council in England is published daily here: https://www.covidmessenger.com/coronavirusliveupdate/)
________________________________
At Covid Messenger, we compile the latest number of lab-confirmed, positive coronavirus cases across the country into a bitesize email every day – one for each district council in the UK – and deliver it straight to your inbox.
If you would like to receive a daily update for your council you can sign up at www.covidmessenger.com


https://preview.redd.it/8ds953u3lvo51.png?width=867&format=png&auto=webp&s=9d9c27e909f5005ce3bb73bd2b24dc4ba2608984
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2020.09.21 04:23 JarOfKetchup [EXPANSION]Germany and the UK Unify to form the United States of Europe

Sign in

The Guardian

NEWS OPINION SPORT CULTURE LIFESTYLE MORE

Germany and the UK Unify to form the United States of Europe

The UK and Germany have signed the momentous decision to form the United States of Europe. UK Prime Minister Joris Bonson and German Chancellor [insert name here] ceremoniously signing the document dissolving the UK and Germany. In its place, the United States of Europe has been born. Although the current members count is currently two, talks have already been ongoing with France, Italy, and to a lesser degree Sepharad, Raetia, and even Austria.
The territory of Germany and the UK will be subdivided along existing administrative lines into states of roughly 5-10 million inhabitants. This follows closely to the proposed "Heineken model" of comparably sized states, although the actual lines have been drawn somewhat differently.
The United States of Europe will operate under a federal structure, with much of the day-to-day decision making centralized in the federal government. State governments act largely as in a supervisory role, which will avoid complicated webs of differing laws and "state-pandering" that plagued the United States of America.
 

IMAGE: States of the United States of Europe

 
Each state will chose their own head of state, in a manner decided by that specific state. The role and power of a head of state depends on the state, but always pertains to state-level governance. Depending on the situation, a single person can be head of state of multiple states. For example, most German-originating states retain their "Friedrich Constition"-determined head of state, such as the Head of house Hohenzollern in most of the "Neo-Prussian states", and conventional democratic governors in the Hanseatic states. As a result of this decision, there is no singular head of state of the United States of Europe, but a multitude of people filling that role simultaneously, to varying degrees.
The federal government centers around a bicameral legislature, the States-General, which consists of the Upper House and the Lower House. The members of the Upper House are elected by the state-level governments, with the number of representatives corresponding the state's population. The Lower House is elected directly by the people via party-list proportional representation.
 

TABLE: States of the United States of Europe

STATE POPULATION AREA (km2) LARGEST CITY ORIGINAL NATION HEAD OF STATE
Scotland 5,463,300 77,933 Glasgow UK King of the UK
Midlands 10,769,965 28,623 Birmingham UK King of the UK
Cornwall 5,624,696 23,836 Newquay UK Winner of the Fistral Boardmaster
London 8,961,989 1,572 London UK King of the UK
South East England 9,180,135 19,072 South Hampshire UK King of the UK
East of England 6,236,072 19,116 Norwich UK King of the UK
North West England 7,341,196 14,108 Manchester UK King of the UK
Yorkshire and the Humber 8,172,908 23,984 Leeds UK King of the UK
Northern Ireland & Wales 5,046,546 34,297 Belfast UK King of the UK
Brandenburg 6,156,743 30,371 Berlin Germany Emperor of Germany (House of Hohenzollern)
Baden-Württemberg 11,069,533 35,752 Stuttgart Germany Governor
Bavaria (Bayern) 13,076,721 70,552 Munich (München) Germany Monarch of Bavaria (House of Wittelsbach)
Lower Saxony (Niedersachsen) 8,665,434 48,028 Bremen Germany Governor
German Baltic States (Deutsche Baltische Länder) 6,347,566 39,734 Hamburg Germany Governor
Baden-Württemberg 11,069,533 35752 Stuttgart Germany Governor
North Rhine-Westphalia (Nordrhein-Westfalen) 17,932,651 34,085 Düsseldorf Germany Emperor of Germany (House of Hohenzollern)
Rhineland-Hesse (Rheinland-Hessen) 11,341,162 43,537 Frankfurt Rhine-Main Germany Emperor of Germany (House of Hohenzollern)
Saxony-Thuringia (Sachsen-Thüringen) 8,429,403 55,034 Dresden Germany Emperor of Germany (House of Hohenzollern)
Switzerland (Schweiz) n/a n/a n/a Germany Governor​
The United States of Europe maintains several "Non-federal territories", which exist mostly outside of the federal structure. This includes the UK Caribbean Territories, Germany and UK's Antarctic claims, and other overseas territories. Exact status of these territories differs on a case-to-case basis, but they generally have their own parliament, and do not vote in USE elections.
 

What you should know about the United States of Europe

 
 
NEWS OPINION SPORT CULTURE LIFESTYLE MORE
© 2041 Guardian News & Media Limited or its affiliated companies. All rights reserved.
 
 
[M] The map is slightly incorrect, as it doesn't include Germany's Swiss Cantons. I couldn't find out how Switzerland was subdivided IG, so I'm pretending that problem doesn't exist. Nor does it include other IG border changes (e.g. Benelux). Population data is from IRL 2019. The largest cities are updated for 2041 WP
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2020.09.19 00:41 futebolstats Como assistir Norwich City x Preston North End Futebol AO VIVO – Championship 2020

O confronto envolvendo Norwich City x Preston North End será realizado neste sábado (19). A disputa é válida pela 2ª rodada da Championship de 2020/21. A partida está programada para começar às 11h00 (horário de Brasília). O duelo entre as equipes vai acontecer no Carrow Road (ENG). Confira onde assistir a partida, o histórico de confrontos e a tabela do campeonato logo abaixo.
Clique AQUI e ganhe 30 dias de DAZN Grátis

ASSISTIR AO VIVO NA INTERNET:

Através do site da BET365.com* você poderá assistir o jogo de hoje ao vivo pela internet. Portanto, acesse o site pelo seu notebook, celular, tablet ou outro dispositivo. Além disso, poderá assistir o jogo através do aplicativo oficial.
*Lembrando que para assistir a partida é necessário ter uma conta com saldo de qualquer valor no site.

ASSISTIR AO VIVO NA TV:

Não será transmitida na TV
Veja mais!! – Acompanhe todos os jogos AO VIVO
Norwich City vs Preston North End Placar e Resultado Ao Vivo:

Ficha Técnica:

Últimos jogos entre Norwich City x Preston North End

Torcedômetro Qual é a maior torcida do Brasil?

Norwich City vs Preston North End – Histórico de Confrontos**

As duas equipes já se encontraram em 54 jogos oficiais na história. O Norwich City já venceu a equipe adversária em 21 duelos. Já o Preston North End conseguiu superar seu rival em 17 partidas. Assim como ficaram no empate em 16 jogos disputados.
Além disso, a equipe do Norwich City já marcou 76 gols neste duelo. Enquanto o time do Preston North End balançou as redes adversárias 68 vezes.

Prognósticos:**

Vitória do Norwich City: 52 %
Empate: 27 %
Vitória do Preston North End: 21 %
**Números do site oGol (somente jogos oficiais, não inclui partidas amistosas)

Tabela da Championship:

Aqui no Futebol Stats você acompanha tudo sobre os campeonatos nacionais e os internacionais. Portanto, acesse nossa página para saber onde assistir os jogos de Futebol Ao Vivo, e saiba onde assistir todos os jogos de hoje. Assim também, não deixe de acessar a nossa página do Torcedômetro veja o ranking e vote em qual time tem a maior torcida do Brasil.
O post Como assistir Norwich City x Preston North End Futebol AO VIVO – Championship 2020 apareceu primeiro em Futebol Stats.
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2020.09.18 03:57 skeletor_thagawd RAMPAGE IN CONNECTICUT: THE OVERVIEW; Connecticut Lottery Worker Kills 4 Bosses, Then Himself (Article from March 7, 1998)

Angered about a salary dispute and his failure to win a promotion, a Connecticut Lottery accountant reported promptly to his job this morning, hung up his coat and then methodically stabbed and gunned down four of his bosses, one of whom he chased through a parking lot, before turning the gun on himself.
As the shots rang out through the hallways of the lottery headquarters here in this quiet Hartford suburb, witnesses and the police said, dozens of employees, some yelling, ''Run to the woods,'' headed into the brushy hillside surrounding the office while others dived into nearby ditches.
The gunman, Matthew Beck, 35, had walked into the executive offices, stabbed and shot one top official and shot two others -- saying ''bye-bye'' to one of them -- and then chased the State Lottery president, Otho R. Brown, several hundred yards into a parking lot. Mr. Brown, 54, stumbled as he ran, the police said, and just as officers arrived on the scene, they saw Mr. Beck fire a semiautomatic handgun at the executive, killing him immediately.
Within seconds, as two Newington police detectives approached Mr. Beck, he put the gun, a 9-millimeter Glock, to his right temple and shot himself, said John Connelly, the head of the state police.
In addition to Mr. Brown, the other victims were three of the most senior managers at the Connecticut Lottery Corporation, a quasi-public authority: Linda Mlynarczyk, 37, chief financial officer, of New Britain; Frederick Rubelmann 3d, 40, vice president of operations, of Southington, and Michael Logan, 33, information systems manager, of Colchester.
During the last few months, there had been strong indications that Mr. Beck was troubled. He had been granted a leave of absence in October for stress-related problems and was undergoing medical treatment, state officials said. Before the leave, they said, he had been upset about orders that he perform data processing and install software, tasks that were not in his job description and that would usually come under another position that paid $2 an hour more per hour than his $20-an-hour accounting job.
Mr. Beck filed a grievance in August and won the first round of the case in January when an arbitrator ruled that he had taken on responsibilities that were beyond his job description. When he returned to work on Feb. 25 from his medical leave, he was still waiting to see whether he would receive back pay and, if approved, how much it would be.
During Mr. Beck's absence, the higher-paying position had been filled, and after nine years working for the lottery without a promotion, Mr. Beck was upset that he had been passed over, co-workers said.
''He was always angry about not being promoted,'' Angela Bentley, his supervisor, said in a telephone interview this evening. ''He used to talk about how they treated him unfairly.''
Joseph Mudry, the shop steward for Mr. Beck's unit of the Administrative and Residual Employees Union, said that Mr. Beck had been trying to transfer to another state agency without success. Mr. Beck had called him Thursday morning, the second time this week, to check in and seemed calm, Mr. Mudry added, though the head of personnel had said she was concerned about him last Friday, Mr. Mudry said.
Mr. Beck arrived at the office as it opened about 8 A.M., having made his 40-minute drive from his home in Ledyard. About 8:30, he showed up at an office where Ms. Mlynarczyk was meeting with several employees and discussing some new software, said Karen Kalandyk, who was at the meeting, She said Mr. Beck stood in an open doorway and directly faced Ms. Mlynarczyk. ''All of a sudden, he put his arm up and we saw the gun,'' Ms. Kalandyk said. ''He just aimed the gun right at her, he said, 'Bye-bye,' and he shot her three times.''
Ms. Bentley recalled seeing him at his desk around 8:30 in blue jeans and a jacket. She went to get coffee, she said, and after returning, she heard gunshots.
She ran out into the hallway and people were yelling, ''Get out of here,'' she recalled. At that point she ran into Mr. Brown in the hallway and asked him what was happening. ''I don't know,'' she said he told her, and the two of them kept running.
Marion Tercyak, a lottery accountant, was with them as they ran out of the building. Mr. Brown ''pushed her out the door and said, 'Just run!' '' recounted her brother, Peter, who spoke to her this morning. Mr. Beck, a former cross-country runner who was in good shape, ''was sprinting after them,'' Mr. Tercyak said his sister told him.
At least one employee said that Mr. Brown ran toward a parking lot of a neighboring high school football field to draw the gunman away from other employees, and he appeared to know that Mr. Beck was after him.
''He looked over his shoulder,'' Mr. Tercyak recalled his sister saying.
But Mr. Brown could not escape; a dead end was in front of him, Ms. Bentley said. ''Ott fell down and Matt went over and shot him,'' she said.
In the woods and buildings nearby, employees were crying, huddling on the ground and hugging one another. Some had run as far as a half-mile in the panic to escape.
One employee, Shannon O'Neill, was quoted on WFSB-TV in Hartford as saying that Mr. Brown had sacrificed himself to divert Mr. Beck from others. ''I think Mr. Brown was a hero because I think he saved a lot of lives today,'' she said.
Mr. Tercyak said that his sister had known that Mr. Beck was troubled and had talked with other workers about his being dangerous. ''My sister said that people had talked before this happened about how this is the kind of thing where people crack and shoot someone,'' he said.
The police would not say whether Mr. Beck had a license for the gun.
Mr. Beck, who made $45,214 a year, had recently moved into his parents' home in Ledyard, where he had graduated from high school, and it appears that he had been struggling with serious depression.
His father, Donald, described his son as troubled. In January, when he was living in Cromwell, Conn., the police had been called to his apartment because he was apparently holding a knife to his throat. Capt. Tom Roohr of the Cromwell police said that Mr. Beck was not there when they arrived, but that the caller, whom Captain Roohr declined to identify, had said that Mr. Beck had tried to commit suicide once before.
The police said they had no information on Mr. Beck's having committed any crimes. Mayor Wesley Johnson Sr. of Ledyard said he could not find a pistol permit for Mr. Beck. But his father said he had one.
Before his state employment, which began in 1989, Matthew Edward Beck worked as a security officer at Globe Security Systems in Norwich and as a taxpayer service representative for the Internal Revenue Service.
Union officials said Mr. Beck had been a steady employee who had rarely missed work and had worked overtime without complaining. Mr. Mudry described him as someone who liked golf and followed University of Connecticut basketball. He was of average height, about 5 feet 8 inches, and slim. He did little to stand out, except when he shaved his head a year ago, Mr. Mudry said.
A college graduate, he was clearly bright. ''He was a genius,'' Ms. Bentley, his supervisor, said.
In this morning's rampage, Mr. Beck first stabbed Mr. Logan, who had denied Mr. Beck his grievance in a first hearing last year. Mr. Connelly said that Mr. Logan also was apparently shot.
Mr. Beck then walked into an adjacent area and shot Ms. Mlynarczyk, with whom he had met a week ago to discuss his new duties, and Mr. Rubelmann, to whom Mr. Beck had once appealed for help. Ms. Mlynarczyk was shot three times, an officer who spoke on condition of anonymity said, and was found dead, in a seated position, with her face on a conference table in a front office.
The Newington police were called at 8:46 A.M. and said that Mr. Beck's victims were already dead. Mr. Beck was flown by helicopter to Hartford Hospital, where he was pronounced dead.
Gov. John G. Rowland visited the lottery headquarters shortly after the shooting and embraced employees. He had known personally two of the victims, Mr. Brown and Ms. Mlynarczyk, who had been the Mayor of New Britain and had campaigned for the Governor.
Mr. Rowland ordered that state flags be kept at half staff through Monday, and state officials said lottery headquarters would be closed Monday, reopening Tuesday. The two lottery drawings scheduled today were postponed until Saturday, and ticket sales for on-line games were suspended this afternoon, to resume Saturday morning.
https://www.nytimes.com/1998/03/07/nyregion/rampage-connecticut-overview-connecticut-lottery-worker-kills-4-bosses-then.html
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2020.09.15 00:05 vNoct So, how difficult is it to bounce back from relegation from the Premier League? I picked around a little bit in historical trends [OC]

As the new season gets underway, there's no lack of predictions being thrown around. While we all know that Manchester City are winning the Premier League again and Liverpool are getting relegated because they haven't spent any money only spent £11m on a backup fullback, what of those unlucky few who were banished to the netherworld that is the Championship?
Around the internet, there does seem to be a consensus that Bournemouth, Norwich, and Watford are all among the favorites to come right back up, whether this is coming from Scottish Teens betting markets or "journalists" like 538. I’m not here to litigate the validity of 538’s modelling process for soccer outcomes, though I’ll admit I enjoy reading them every now and then. What spurred me to do this is seeing just how much all three of the freshly-relegated sides are pretty heavy favorites in their model, with only Brentford coming close.
So, I was curious how long it usually has taken teams since football started since 1992 (as a convenient cut-off spot). I’m sure the information did exist somewhere in a moderately-accessible format, but I was sitting around waiting for people to reply to my emails so I thought I’d just go ahead and build the following list of relegated teams in chronological order:
 
Year Relegated Years outside of the PL Ever Promoted?
1993 Nottingham Forest 1 1
1993 Middlesbrough 2 1
1993 Crystal Palace 1 1
1994 Sheffield United 12 1
1994 Oldham Athletic 29 0
1994 Swindon Town 28 0
1995* Crystal Palace 2 1
1995 Norwich City 9 1
1995 Leicester City 1 1
1995 Ipswich Town 5 1
1996 Manchester City 4 1
1996 Queens Park Rangers 15 1
1996 Bolton Wanderers 1 1
1997 Sunderland 2 1
1997 Middlesbrough 1 1
1997 Nottingham Forest 1 1
1998 Bolton Wanderers 3 1
1998 Barnsley 23 0
1998 Crystal Palace 6 1
1999 Charlton Athletic 1 1
1999 Blackburn Rovers 2 1
1999 Nottingham Forest 22 0
2000 Wimbledon 22 0
2000 Sheffield Wednesday 21 0
2000 Watford 6 1
2001 Manchester City 1 1
2001 Coventry City 20 0
2001 Bradford City 22 0
2002 Ipswich Town 20 0
2002 Derby County 5 1
2002 Leicester City 1 1
2003 West Ham 2 1
2003 West Bromwich Albion 1 1
2003 Sunderland 2 1
2004 Leicester City 10 1
2004 Leeds 16 1
2004 Wolves 5 1
2005 Crystal Palace 8 1
2005 Norwich City 10 1
2005 Southampton 7 1
2006 Birmingham City 1 1
2006 West Bromwich Albion 2 1
2006 Sunderland 1 1
2007 Sheffield United 12 1
2007 Charlton Athletic 15 0
2007 Watford 8 1
2008 Reading 4 1
2008 Birmingham City 1 1
2008 Derby County 13 0
2009 Newcastle 1 1
2009 Middlesbrough 7 1
2009 West Bromwich Albion 1 1
2010 Hull 3 1
2010 Burnley 4 1
2010 Portsmouth 12 0
2011 Birmingham City 10 0
2011 Blackpool 11 0
2011 West Ham 1 1
2012 Bolton Wanderers 11 0
2012 Blackburn Rovers 9 0
2012 Wolves 6 1
2013 Reading 8 0
2013 Queens Park Rangers 1 1
2013 Wigan 9 0
2014 Cardiff City 4 1
2014 Fulham 4 1
2014 Norwich City 5 1
2015 Hull 1 1
2015 Burnley 1 1
2015 Queens Park Rangers 6 0
2016 Newcastle 1 1
2016 Norwich City 3 1
2016 Aston Villa 3 1
2017 Hull 5 0
2017 Middlesbrough 4 0
2017 Sunderland 5 0
2018 Swansea 3 0
2018 Stoke City 3 0
2018 West Bromwich Albion 2 1
2019 Cardiff City 2 0
2019 Fulham 1 1
2019 Huddersfield Town 2 0
* In 1995, the PL went from 22 teams to 20, and so they relegated 4 teams. In other years, Palace would have survived. I think.
 
The first two columns are pretty self-explanatory, it’s the year in which the club got relegated (pulled from Wikipedia). The next one is how many years a team was outside of the top flight, with 1 meaning they were promoted the very next year, 2 meaning they were promoted after their second year, and so on. For clubs who to this point have not managed to get promoted back to the PL, this third column is the minimum amount of time they’ll spend in outside of the PL. So for example, Stoke was relegated in 2018 so they’ve got a 3 because at a bare minimum they’ll take 3 years outside of the top flight if hell freezes over they manage promotion this year (sorry Stoke, you’ve actually got a decent shot tbf). For teams lower than that, a la Charlton who are currently in League One, this number assumes back-to-back promotions, as unlikely as that is. Not a perfect system, I know.
For Wimbledon, I’m considering AFC Wimbledon the continuation of Wimbledon FC, because fuck MK Dons.
So what’s the data look like? Here’s the distribution of how long it has taken teams to return:
 
Years outside the PL Count
1 21
2 10
3 6
4 6
5 6
6 4
7 2
8 3
9 3
10 3
11 2
12 3
13 1
14 0
15 2
16 1
17 0
18 0
19 0
20 2
21 1
22 3
23 1
24 0
25 0
26 0
27 2
 
Across 82 instances of relegation, 45 separate teams have suffered the sting of relegation. The median time between relegation and promotion is 4 years and average is 6.75, though obviously these are moving targets because a lot of these teams haven’t been back yet and some may very well never be back.
 
On 21 occasions, a relegated team has come right back up the following year. Birmingham City, Leicester, Newcastle, and West Brom have all achieved this feat twice, and no one has ever done it more than twice. Sunderland and West Brom have each managed bouncing back after two years twice, and Sheffield United interestingly enough took 12 years to get back both times that they’ve been relegated.
 
In ’93, ’97, ’06, ’09, and ’15, two teams that went down came right back up. There has never been a year when each team relegated from the PL managed promotion immediately. Most years do have at least one club come back within 1 or 2 years. The year with the longest gap is 1994 at 12 years for, you guessed it, Sheffield United. The other two clubs relegated that year are Oldham and Swindon, both of whom don’t look like they’ll be rejoining the top flight any time soon. The next-largest gap is 8 years, with Watford, Charlton, and once again Sheffield United being relegated in 2007. Watford made it back to the PL in 2015.
 
1994 was definitely the toughest year for the relegated teams, with other notably difficult years for re-promotion being 2000:
Team Years outside the PL
Sheffield Wednesday 21 (currently in Championship)
Watford 6
Wimbledon 22 (currently in League One after a wild few decades)
 
2004:
Team Years outside the PL
Leeds 16
Leicester 10
Wolves 5
 
And 2007 which I touched on earlier:
Team Years outside the PL
Charlton 15 (currently in League One)
Sheffield United 12
Watford 8
 
The strongest relegation groups (at least in so far as how long it took them to return) were in ’93, ’97, and ’06. Each of these had two teams bounce right back up with the third in each group taking one more year. Honorable mention to 2003 when West Brom came right back up and Sunderland and West Ham managed the feat in 2 years apiece.
 
To bring it full-circle, it seems to me like models like 538 may be slightly overestimating the likelihood that multiple of the relegated sides make it back, but the better takeaway from their predictions is probably that it's highly likely at least one of the teams makes it back, which did happen in roughly 60% of years I looked at here. I personally can't see Bournemouth bouncing back given their "off-season", but who knows. Certainly not me.
All this data is sitting in an excel sheet on my computer now, and I successfully killed an afternoon-ish of my time. If anyone has any other little factoids they're wondering about, let me know and I'll happily jump back in.
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2020.09.14 20:51 kjonesatjaagnet City of Manchester home to "the greenest people" in Britain

City of Manchester home to

Manchester scored well in areas such as emissions and eco-measures
The research, carried out by Honda, was based on a range of factors including household recycling, domestic CO2 emissions and household eco measures, combined with survey responses.
Residents in Manchester, Plymouth, Nottingham and Glasgow have emerged as the most eco-friendly in their everyday lives, in a new study from Honda.
The league table was compiled from household recycling data, domestic CO2 emissions and household eco measures. This was combined with survey responses from more than 2,000 UK adults asking about smart meters, commuting methods and their attitudes toward being more environmentally friendly.

Eco-friendly

Manchester residents claim the top spot for being the ‘greenest’ people in Great Britain, followed by Plymouth, Nottingham and Glasgow. In fact, Plymouth respondents achieved the highest score for their attitudes towards being eco-friendly.
While more respondents in Newcastle upon Tyne reported they have a smart meter installed than any other city (51 per cent compared to Britain’s average of 41 per cent), Southampton takes the crown for the lowest estimate of domestic CO2 emissions, followed by Exeter and Portsmouth.
At the other end of the scale is London, Norwich and Sheffield, with the latter receiving the lowest score for their attitude towards being more eco-friendly.
According to the survey, Norwich’s residents have fewer smart meters among them than any other city in Britain, with only 28 per cent saying they currently have one in their home. Furthermore, while Birmingham places fifth in the overall league table, residents there have the lowest score in the country for recycling their household waste.
“With global warming and climate change being one of the biggest concerns to face our planet, there is no denying that there is an ever-growing importance to address what we do now to protect the world we live in”
To understand the extent to which people’s attitudes towards being eco-friendly may have changed as a result of experiencing lockdown, Honda commissioned a second survey, and while some attitudes remain similar, there are differences to note. While three-fifths (62 per cent) believe their recycling habits have stayed the same throughout lockdown, 26 per cent say they now recycle more and 10 per cent recycle less.
Of those who have been recycling more, half say it is because they have had more time to recycle. However, of those who have recycled less, 29 per cent say do not see the point in trying to recycle more and 27 per cent can’t be bothered.

Before lockdown

Less people now turn all lights and electricals off every time they leave a room (41 per cent) compared to the 46 per cent that said they did before lockdown. Cardiff now do this more than any other city (60 per cent), but Norwich’s residents turn all lights and electricals off when leaving a room less often than anyone else (10 per cent).
“With global warming and climate change being one of the biggest concerns to face our planet, there is no denying that there is an ever-growing importance to address what we do now to protect the world we live in. As Honda continue to work towards a more electrified future, we want to celebrate the people in Britain who are actively thinking of the environment and trying to be more eco-friendly in their everyday lives,” said Rebecca Stead, head of automobile at Honda UK.
She continued: “It’s important we all do what we can to take steps to help the environment and we want to champion those that are doing this. We hope this research will also encourage more people to do the same and take any step they can – big and small – to protect the planet.”
Publication of the research marks the release of Honda’s first fully electric car, the Honda e. The full research can be found here.
Originally published by SmartCitiesWorld News Team September 14, 2020 Smart Cities World
submitted by kjonesatjaagnet to JAAGNet [link] [comments]


2020.09.12 13:41 futebolstats Como assistir Huddersfield x Norwich Futebol AO VIVO – Championship 2020

O jogo envolvendo Huddersfield x Norwich será realizado neste sábado (12). A disputa é válida pela 1ª rodada da Championship 2020. A partida está programada para começar às 11h00 (horário de Brasília) e o duelo entre as equipes vai acontecer no John Smith’s Stadium, localizado em Huddersfield, na Inglaterra.
Clique AQUI e ganhe 30 dias de DAZN Grátis

ASSISTIR AO VIVO NA TV:

A partida será transmitida no canal ESPN BRASIL*.

ASSISTIR AO VIVO NA INTERNET:

Através do WatchESPN* você pode assistir ao jogo de hoje AO VIVO pela internet. Acesse o site pelo seu notebook, celular, tablet ou outro dispositivo. Além disso, você pode assistir ao jogo através do aplicativo oficial.
*Lembrando que para assistir a partida é necessário ter uma assinatura ativa no canal.
Acompanhe todos os jogos e canais ao vivo aqui (teste grátis)

PROVÁVEL ESCALAÇÃO:

HUDDERSFIELD:Hamer, Pipa, Schindler, Rowe, Toffolo, Pritchard, Hogg, Bacuna, Koroma, Ward, Mbenza.
Técnico: Carlos Corberan
NORWICH:Krul, Aarons, Godfrey, Zimmermann, Quintilla, McLean, Skipp, Cantwell, Dowell, Hernandez, Pukki.
Técnico: Daniel Farke
Veja mais!! – Acompanhe todos os jogos AO VIVO

FICHA TÉCNICA:

Torcedômetro Qual é a maior torcida do Brasil?

HUDDERSFIELD X NORWICH – HISTÓRICO DE CONFRONTOS**

As duas equipes já se encontraram em 43 jogos oficiais na história e o Huddersfield já venceu a equipe adversária em 13 duelos. Já o Norwich também conseguiu superar seu rival em 13 partidas. Eles ficaram no empate em 17 jogos disputados.
Além disso, a equipe do Huddersfield já marcou 47 gols neste duelo, enquanto o time do Norwich balançou as redes adversárias 61 vezes.
**Números do site oGol (somente jogos oficiais, não inclui partidas amistosas)
Aqui no Futebol Stats você acompanha tudo sobre os campeonatos nacionais e os internacionais. Portanto, acesse nossa página para saber onde assistir os jogos de Futebol Ao Vivo, e saiba onde assistir todos os jogos de hoje. Assim também, não deixe de acessar a nossa página do Torcedômetro veja o ranking e vote em qual time tem a maior torcida do Brasil.
O post Como assistir Huddersfield x Norwich Futebol AO VIVO – Championship 2020 apareceu primeiro em Futebol Stats.
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2020.09.09 10:57 starryjb Norwich's reputation as having low crime rates is a bit overblown?

I am born and raised in Norwich, and often hear people say the crime rate is much lower compared to other similar cities etc. I was curious as to how true this is, and bored because of lockdown, so I embarked on a mini project on this and collated some data.
I used crime rates per 1,000 using raw data gathered from official police data, over the course of the last 7 months, as I assumed this was probably the fairest way to compare areas. In terms of the City as a whole, crime rates were not really anything special. https://www.ukcrimestats.com/ is the website I used, which takes data from official police sources. I cross-checked the data too, and it is accurate. I also made sure not to skew the data by including countryside areas around the cities I looked at, which always dilutes the data.
Norwich seemed to have higher violent crime (4.6 per 1,000), and total crime (14 per 1,000), compared to others. For example, Norwich performs worse in violent crime than Leeds (4.1), Birmingham (3.8), Bristol (3.2), Sheffield (2.7), Cambridge (2.9), Portsmouth (4.2), Wakefield (4.2), Coventry (3.1), Ipswich (4.5), Stoke-on-Trent (4.1), Newcastle (3.3), and even Nottingham (3.8) when it comes to violent crime per 1,000. Total crime rates seemed to generally correspond with violent crime.
Norwich East performed particularly badly (33 crimes per 1,000 and 8.9 violent crimes), but the population in this district is quite low at around 20,000. Weapon usage and drug usage in Norwich as a whole are also generally higher than most of the cities mentioned above.
On the positive side, Norwich generally does slightly better compared to cities such as Preston, Bradford, Peterborough, Colchester :)

Anyway, although completely pointless it was a project that kept me busy over the last couple of days and thought you guys might find it interesting too.
submitted by starryjb to Norwich [link] [comments]


2020.09.06 11:37 wotan1942 Études sur l'efficacité des masques faciaux.

Études sur l'efficacité des masques faciaux.
Jusqu'à présent, la plupart des études ont trouvé peu ou pas de preuves de l'efficacité des masques en tissu dans la population générale, ni en tant qu'équipement de protection individuelle ni en tant que contrôle à la source (émission).
Une méta-étude de mai 2020 sur la grippe pandémique publiée par les CDC américains a révélé que les masques faciaux n'avaient aucun effet, ni en tant qu'équipement de protection individuelle ni en tant que contrôle à la source. (Source)
Un examen de juillet 2020 par l'Oxford Center for Evidence-Based Medince a révélé qu'il n'y avait aucune preuve de l'efficacité des masques en tissu contre l'infection ou la transmission virale. (Source)
Une étude transnationale sur le Covid-19 menée par l'Université d'East Anglia a révélé que l'exigence d'un masque n'était d'aucun avantage et pouvait même augmenter le risque d'infection. (Source)
Un examen d'avril 2020 par deux professeurs américains en maladies respiratoires et infectieuses de l'Université de l'Illinois a conclu que les masques faciaux n'avaient aucun effet dans la vie quotidienne, ni en tant qu'autoprotection ni pour protéger des tiers (soi-disant contrôle à la source). (Source)
Un article du New England Journal of Medicine de mai 2020 est arrivé à la conclusion que les masques en tissu n'offrent que peu ou pas de protection dans la vie quotidienne. (Source)
Une revue Cochrane d'avril 2020 (pré-impression) a révélé que les masques faciaux dans la population générale ou les travailleurs de la santé ne réduisaient pas les cas de syndrome grippal (SG). (Source)
Un examen d'avril 2020 de la Norwich School of Medicine (pré-impression) a révélé que «les preuves ne sont pas suffisamment solides pour soutenir l'utilisation généralisée des masques faciaux», mais soutiennent l'utilisation de masques par «des personnes particulièrement vulnérables dans des situations transitoires à haut risque». (Source)
Une étude de juillet 2020 menée par des chercheurs japonais a révélé que les masques en tissu «n'offrent aucune protection contre le coronavirus» en raison de leur grande taille de pores et de leur ajustement généralement médiocre. (Source)
Une étude de 2015 publiée dans le British Medical Journal BMJ Open a révélé que les masques en tissu étaient pénétrés par 97% des particules et pouvaient augmenter le risque d'infection en retenant l'humidité ou en les réutilisant. (Source)
submitted by wotan1942 to QuebecLibre [link] [comments]


2020.09.06 11:36 wotan1942 Études sur l'efficacité des masques faciaux.

Études sur l'efficacité des masques faciaux.
Jusqu'à présent, la plupart des études ont trouvé peu ou pas de preuves de l'efficacité des masques en tissu dans la population générale, ni en tant qu'équipement de protection individuelle ni en tant que contrôle à la source (émission).
Une méta-étude de mai 2020 sur la grippe pandémique publiée par les CDC américains a révélé que les masques faciaux n'avaient aucun effet, ni en tant qu'équipement de protection individuelle ni en tant que contrôle à la source. (Source)
Un examen de juillet 2020 par l'Oxford Center for Evidence-Based Medince a révélé qu'il n'y avait aucune preuve de l'efficacité des masques en tissu contre l'infection ou la transmission virale. (Source)
Une étude transnationale sur le Covid-19 menée par l'Université d'East Anglia a révélé que l'exigence d'un masque n'était d'aucun avantage et pouvait même augmenter le risque d'infection. (Source)
Un examen d'avril 2020 par deux professeurs américains en maladies respiratoires et infectieuses de l'Université de l'Illinois a conclu que les masques faciaux n'avaient aucun effet dans la vie quotidienne, ni en tant qu'autoprotection ni pour protéger des tiers (soi-disant contrôle à la source). (Source)
Un article du New England Journal of Medicine de mai 2020 est arrivé à la conclusion que les masques en tissu n'offrent que peu ou pas de protection dans la vie quotidienne. (Source)
Une revue Cochrane d'avril 2020 (pré-impression) a révélé que les masques faciaux dans la population générale ou les travailleurs de la santé ne réduisaient pas les cas de syndrome grippal (SG). (Source)
Un examen d'avril 2020 de la Norwich School of Medicine (pré-impression) a révélé que «les preuves ne sont pas suffisamment solides pour soutenir l'utilisation généralisée des masques faciaux», mais soutiennent l'utilisation de masques par «des personnes particulièrement vulnérables dans des situations transitoires à haut risque». (Source)
Une étude de juillet 2020 menée par des chercheurs japonais a révélé que les masques en tissu «n'offrent aucune protection contre le coronavirus» en raison de leur grande taille de pores et de leur ajustement généralement médiocre. (Source)
Une étude de 2015 publiée dans le British Medical Journal BMJ Open a révélé que les masques en tissu étaient pénétrés par 97% des particules et pouvaient augmenter le risque d'infection en retenant l'humidité ou en les réutilisant. (Source)
submitted by wotan1942 to FranceLibre [link] [comments]


2020.09.04 08:09 ArcaneCharge Keeper Points Against - An Analysis of Keeper Rotation

TL;DR: In the best case scenario, rotating keepers will net you a 9-10% point increase on average, which would have been 13 points for Mat Ryan last season.

One of the most common points of contention I see on this subreddit is whether you should set and forget a single keeper or rotate between two cheaper options. Those in favor of setting and forgetting argue that it removes the need for a decision every week and that you'll often make the wrong choice anyway, while those rotate believe that with smart decision making you can squeeze more points out of your cheap players. Personally I've been in the set and forget camp for the time that I've been playing, but I decided to see what the data says.
To do this, I needed an objective way to evaluate the difficulty of a fixture for a keeper. Thus, I introduce to you Keeper Points Against. It's entirely possible that I'm not the first to compute this stat, but I've never come across it before in my research. Keeper Points Against is a team stat. It is calculated as the sum of points that keepers scored in matches against that team last season. For instance, in Liverpool's 38 matches, opposing keepers scored a total of 92 points, so Liverpool's Keeper Points Against is 92. The higher a team scores in this statistic, the better the fixture it was for a keeper last season. The table below shows the Keeper Points Against for each PL team for the 19/20 season, sorted from most to least.

Team Keeper Points Against
Norwich 177
Watford 167
Manchester United 163
Crystal Palace 162
Brighton 157
Newcastle 157
Aston Villa 151
Bournemouth 146
Everton 144
West Ham 142
Southampton 141
Leicester 133
Manchester City 131
Sheffield United 131
Burnley 130
Chelsea 124
Tottenham 116
Wolverhampton 111
Arsenal 106
Liverpool 92
Some notes:
-1st and 2nd place should surprise no one, but 3rd place was... Manchester United? If you had constantly rotated your keepers so that you always had the one playing Manchester United, they would have outscored every keeper except Pope. I did a breakdown of how keepers got those points, and the biggest factor was that keepers earned an insane 26 bonus points against them last season. Keepers also earned quite a few save points in this fixture, and because Manchester United earn so many penalties, there were also 3 penalty saves.
-I'm guessing most of us here would consider Manchester City to be one of the worst keeper fixtures imaginable, but they were on par with "good" fixtures such as Sheffield United and Burnley. This supports one of the arguments of the set and forget camp, that the save points from tough fixtures balance out the lack of clean sheets to an extent.

Using this data, we can now assign a numerical value to the difficulty of each fixture. Furthermore, this now gives us an objective way to evaluate rotations: When you need to pick between two fixtures, pick the one with a higher Keeper Points Against. There's just one problem: We don't have data for the 3 promoted teams. My solution for this analysis was to simply assign each them the average of Sheffield United, Aston Villa, and Norwich (Last year's promoted teams). Hopefully you'll agree that this is a reasonable way to handle this.
So now for the original question: How many additional points can you expect to earn by rotating? To perform this analysis, I considered every possible pair of teams (190, too many to list here). I calculated the average number of points you could expect by picking the "better" fixture between the two, and compared that to a no rotation baseline. The best possible rotation was Chelsea/Sheffield United (not that I recommend it), and the best 4.5/4.5 rotation was Brighton/Southampton. The Brighton/Southampton rotation gives a 9.4% increase in expected points over using just Ryan or McCarthy over the course of the season. Mat Ryan scored 135 points last season, so a 9.4% increase would be about 13 points.
Long story short, you should get a slight point increase for rotating. My caveat here is that this assumes we can project last season's data to 20/21. It's possible, maybe even likely, that the Keeper Points Against will be very different this season, which would decrease the gains you see. My conclusion is that there definitely is a benefit to rotating, but only if you have a very good sense of the fixture difficulties. Personally, I think 13 points isn't a big enough benefit and I'll be sticking to the set and forget strategy and taking the extra 0.5m.
If you made it this far I want to thank you for taking the time to read this. Hopefully I've helped inform your keeper strategy for this season.
submitted by ArcaneCharge to FantasyPL [link] [comments]


2020.08.31 18:24 Irctoaun Analysis of the consistency of premium captain options in 'easier' fixtures

Last year I made a post looking at the consistency of premiums in "captainble" fixtures (defined later) to try and get a handle on which players were the safest captaincy bets. I thought I'd revisit it for the start of this season, but this time have some fun making a little Python script that does the work automatically using Vaastav's excellent repo that has histprical FPL data going back to 16/17. This means I can also include past seasons' data separately if there's interest.
Slightly differently from last season, I've defined a captainable fixture as any match against a team that ended up with the bottom 10 xGA according to Understat, in which the player features. This might seem a slightly strange choice, but the reasons for it are it fits my impression of what captianable fixtures should be while still being somewhat objective. I thought about using actual goals against but that didn't really feel right since it would have meant including teams like Chelsea and Everton over Palace or Arsenal. Also with the exception of Arsenal for Everton, using xGA actually gets the bottom half of the table in final league position. The teams for 19/20 are:
Norwich
Villa
West Ham
Newcastle
Bournemouth
Brighton
Watford
Palace
Arsenal
Southampton
Now before I go any further, I'd like to point out some of the limitations of this study.
All that said, here are the numbers for the 19/20 season:
Player 5+ points 10+ points 15+ points % of captainable points at home % of all points at home
Mane 11/17 (65%) 6/17 (35%) 2/17 (12%) 64% 62%
Augero 7/11 (63%) 3/11 (27%) 2/11 (18%) 43% 56%
Auba 12/19 (63%) 6/19 (32%) 2/19 (11%) 57% 57%
Kane 7/15 (47%) 2/15 (13%) 0/15 (0%) 58% 53%
KDB 14/19 (74%) 5/19 (26%) 2/19 (11%) 60% 59%
Martial 11/17 (65%) 4/17 (24%) 1/17 (6%) 74% 62%
Rashford 8/17 (47%) 2/17 (12%) 0/17 (0%) 71% 57%
Salah 12/18 (67%) 6/18 (33%) 3/18 (17%) 58% 64%
Sterling 9/17 (52%) 5/17 (29%) 3/17 (18%) 30% 41%
Vardy 11/17 (65%) 6/17 (35%) 2/17 (12%) 53% 53%
Bruno Fernandes 7/8 (88%) 5/8 (63%) 2/8 (25%) 44% 39%
Some comments on the data.
submitted by Irctoaun to FantasyPL [link] [comments]


2020.08.26 16:54 yu3 e-scooter trial given go-ahead in norwich

the department for transport has approved a twelve month trial of 100 e-scooters by bike-hire company beryl. the purpose of the trial is to collect data to 'ensure a wider roll-out of e-scooter services are as safe for and beneficial to the wider public as possible'. the e-scooters will be permitted on roads and bicycle lanes and, according to the edp, will be limited to less than 20kph.
submitted by yu3 to Norwich [link] [comments]


2020.08.25 12:04 Ozo_Life BP drugs may improve COVID-19 survival rates, study says

BP drugs may improve COVID-19 survival rates, study says
  • Medication for high blood pressure may improve COVID-19 survival rates, and reduce the severity of novel coronavirus infection, particularly in patients with hypertension, according to a study.
  • Researchers from the University of East Anglia in the UK studied 28,000 patients taking antihypertensives -- a class of drugs that are used to treat hypertension or high blood pressure.

https://preview.redd.it/pj8868kjg4j51.png?width=1200&format=png&auto=webp&s=af9e7ddcabb725f752d4ad6404ae6c6af7b7f6b8
Medication for high blood pressure may improve COVID-19 survival rates, and reduce the severity of novel coronavirus infection, particularly in patients with hypertension, according to a study.
Researchers from the University of East Anglia in the UK studied 28,000 patients taking antihypertensives -- a class of drugs that are used to treat hypertension or high blood pressure.
The study, published in the journal Current Atherosclerosis Reports, found that the risk of severe COVID-19 illness and death was reduced for patients with high blood pressure who were taking Angiotensin-Converting Enzyme inhibitors or Angiotensin Receptor Blockers ."We know that patients with cardiovascular diseases are at particular risk of severe Covid-19 infection," said lead researcher Vassilios Vassiliou, from UEA's Norwich Medical School."But at the start of the pandemic, there was concern that specific medications for high blood pressure could be linked with worse outcomes for COVID-19 patients," Vassiliou said.
The researchers, including those from Norfolk and Norwich University Hospital, analysed what the impact of these medications is for people with COVID-19.
They studied the outcomes for patients taking antihypertensives, looking particularly at what is called 'critical' outcomes such as being admitted to intensive care or being put on a ventilator, and death.
The team analysed data from 19 studies related to COVID-19 and ACEi and ARB medications. The researchers noted that their meta-analysis involved more than 28,000 patients and is the largest and most detailed such study to date.
They compared data from COVID-19 patients who were taking ACEi or ARB medications with those who were not -- focusing on whether they experienced 'critical' events and death."We found that a third of COVID-19 patients with high blood pressure and a quarter of patients overall were taking an ACEi/ARBs. This is likely due to the increasing risk of infection in patients with co-morbidities such as cardiovascular diseases, hypertension and diabetes," said Vassiliou.
"But the really important thing that we showed was that there is no evidence that these medications might increase the severity of COVID-19 or risk of death," he said.
On the contrary, the researchers found that there was a significantly lower risk of death and critical outcomes, so they might in fact have a protective role -- particularly in patients with hypertension.
COVID-19 patients with high blood pressure who were taking ACEi/ARB medications were 0.67 times less likely to have a critical or fatal outcome than those not taking these medications, according to the study.
"Our research provides substantial evidence to recommend continued use of these medications if the patients were taking them already," said Vassiliou.
"However, we are not able to address whether starting such tablets acutely in patients with Covid-19 might improve their prognosis, as the mechanism of action might be different," he added.
Reported by: https://www.livemint.com/news/india/bp-drugs-may-improve-covid-19-survival-rates-study-says-11598252611440.html
submitted by Ozo_Life to u/Ozo_Life [link] [comments]


2020.08.11 19:06 Pat1entZero Can anyone tell me why my changes.txt file isn't working?

I'm playing FM mobile 2020, and read online that you can create a changes.txt file, in order to move teams into a different league, but after having created the file, no changes take effect on starting a new game. I put the file in the below location:
Android > data > com.sega.soccer > files > installed > application_support > Sports Interactive > Football Manager Mobile 2020 > normal > Caches folder, as was instructed from the guidance I found online.
My file has the below contents:
"CLUB" "AFC Bournemouth" "England" "" "" "" "Sky Bet Championship" "CLUB" "West Bromwich Albion" "England" "" "" "" "Premier Division" "CLUB" "Norwich City" "England" "" "" "" "Sky Bet Championship" "CLUB" "Leeds United" "England" "" "" "" "Premier Division" "CLUB" "Watford" "England" "" "" "" "Sky Bet Championship" "CLUB" "Fulham" "England" "" "" "" "Premier Division"
submitted by Pat1entZero to footballmanagergames [link] [comments]


2020.08.08 16:15 boinabbc [HIRING] Data Scientist at Aviva in Norwich

Aviva is searching for a Data Scientist in Norwich with the following main skill: Machine Learning
A number of exciting opportunities have arisen in our high-profile data science team, which is helping to shape the future of insurance at Aviva through cutting-edge analytics. The insurance industry... apply or read more here: https://www.datayoshi.com/offe369319/data-scientist-aviva
submitted by boinabbc to jobbit [link] [comments]


2020.08.08 16:15 boinabbc [HIRING] Data Scientist at Aviva in Norwich

Aviva is searching for a Data Scientist in Norwich with the following main skill: Machine Learning
A number of exciting opportunities have arisen in our high-profile data science team, which is helping to shape the future of insurance at Aviva through cutting-edge analytics. The insurance industry... apply or read more here: https://www.datayoshi.com/offe369319/data-scientist-aviva
submitted by boinabbc to BigDataJobs [link] [comments]


2020.08.08 16:15 boinabbc [HIRING] Data Scientist at Aviva in Norwich

Aviva is searching for a Data Scientist in Norwich with the following main skill: Machine Learning
A number of exciting opportunities have arisen in our high-profile data science team, which is helping to shape the future of insurance at Aviva through cutting-edge analytics. The insurance industry... apply or read more here: https://www.datayoshi.com/offe369319/data-scientist-aviva
submitted by boinabbc to techjobs [link] [comments]


2020.08.08 16:15 boinabbc [HIRING] Data Scientist at Aviva in Norwich

Aviva is searching for a Data Scientist in Norwich with the following main skill: Machine Learning
A number of exciting opportunities have arisen in our high-profile data science team, which is helping to shape the future of insurance at Aviva through cutting-edge analytics. The insurance industry... apply or read more here: https://www.datayoshi.com/offe369319/data-scientist-aviva
submitted by boinabbc to MLjobs [link] [comments]


2020.08.04 18:49 stitches_dc [OC] A statistical case for Emi Buendia

tldr: this got longer than I expected, so I've bolded my key points if you don't want to read it all. Quick hit summary of my findings in the comments if you don't want to parse through the body of the post for the bolded sections.
I was inspired a couple of days ago by a twitter thread by @MishraAbhiA which applied statistics to identify U24 players with high performance in a few specific creative metrics. Since he only tweeted summaries of his findings and only listed a small number of players, it left me with many questions, so I decided to investigate into deeper statistical analysis myself, starting with creative players. This is a post I initially threw up on Gunners, but I've repurposed it to drop my Arsenal POV since the info could be useful for supporters of other clubs.
As you can tell from the title, this post is mostly going to focus on Emi Buendia. He seems to be a very divisive player these days - some basic stats indicate that he has many creative qualities, but there are many others who claim he is more damaging to a team based on anecdotal reference and stats regarding his sheer number of possessions lost in dangerous areas. So after I finished my statistical analysis on creative players, I wanted to scrutinize Buendia and see if there were conclusions I could make to affirm or contrast this general perception of him. Depending on how this is received, I may post other takeaways I found interesting.
Quick disclaimer: stats are never the whole picture - they can be inaccurate, be made to be misleading, and are best used in conjunction with watching game tape. To the extent that I can, I will try to cover the stats in a holistic way. While I have been working towards getting my masters in data analytics, my true real world application of it is still small at this time, so if any of you have questions/comments about my methodology or find inaccuracies in it, I will try to answer them or make fixes as needed (constructive criticism always appreciated!).

METHODOLOGY (skip if you don't care):
Simply put, I compiled a database of all available statistics on players from the 5 big leagues (via fbref), then used the data to create a peer analysis. Once you determine your peer groups (I used Wingers/Attacking Midfielders, as categorized by fbref, with over 810 mins logged this season), you normalize each player's stats so that it's relative to the peer set. By doing that, I can see in what percentile a player is in relative to that data set by using the mean and standard deviation of that set (generally better than simply creating a % by saying "he ranks 20th out of 100 players in the set, so he is in the 80th percentile).
It's important to note that there are different ways to do this, with one of the more simple ways being standardizing it to a normal distribution (the twitter thread that I linked earlier does a good job of explaining this succinctly) - and this is what I generally did. But this only works when the underlying data is distributed like a normal bell curve, which it isn't for a lot of the cases. I identified which stat categories fit well to a normal distribution and which don't. Sometimes, I could correct it by using a lognormal transformation to normalize it. Sometimes, it was random and fit no distribution, in which case I avoided that stat. Sometimes, it was due to a couple of players who had outlier performance in one stat that would have otherwise made the distribution normal - I tried avoiding using these if there was another proxy stat, but in cases where I do make reference to one of those stats, I provide an * to indicate that there may be some skew here. Those stats metrics are typically directionally correct, but have room for error in terms of percentile (anecdotally ~5-10% variance).

CONCLUSION (i'm putting this first since the detail section gets quite long):
This specific ranking is not supposed to be my main takeaway since it's a somewhat arbitrary way of combining stats, but I needed a succinct way getting my message across. Taking the average percentile, not rank, across MANY stat categories, Buendia ranked as 25th out of 270 players across all ages and 7th out of 124 players when looking at just U25 aged players. Again, this is for players categorized as wingers/attacking midfielders by fbref who have over 810 mins of game time this season in one of the big 5 leagues.
For transparency sake (skip if desired), the stats that went into this ranking were:
- Dribble attempts per 90*, Dribble Success %, # of players dribbled past per 90*, Miscontrols p90, Dispossessions p90, Goals p90, xG p90*, Shots on Target p90*, Total pass attempts p90, Pass Completion %, Assists p90, xA p90*, Key Passes p90, Passes Into Final 3rd p90, Passes Into Penalty Area p90, Crosses Into PA p90, Progressive Passes p90, Passes While Pressured p90, Shot Creating Chances p90, Goal Creating Chances p90*, Tackles p90*, Tackle Win %, # Dribbles Contested (as defender) p90, Dribbles Successfully Tackled %, # Pressures (as defender) p90, Successful Pressure %, Blocks p90*, Interceptions p90*, Team Success (+/-) On - Off p90, Team Success (xG) On - Off p90
Now, like I mentioned, the ranking isn't what I want push here since it's tough to determine what combination of categories is best to estimate the overall quality of a creative player (although I was somewhat comforted by the other names that topped the lists: Sancho, Bernardo Silva, Gnabry, Nkunku, Foden in U25; Messi, Dybala, Neymar, Muller, Sancho, Coutinho over all ages). Even with some deviation and inaccuracies in the above calculation, the goal of this rank is to show the general overall value range of Buendia. Combine that with the fact that he's among the cheapest for that value and already premier league tested, I think he would make a very smart buy for a lot of clubs.
From here on in my post, I break down in details some of the metrics that I used in my ranking above. It's quite long, so here are the key takeaways if you don't want to read much more:
- Buendia has elite Chance Creation ability, primarily by completing passes into the danger areas at a much higher rate than his peers.
- He doesn't shoot or score much, not his MO; potentially could stand to be more clinical with his chances as well.
- A very direct dribbler; tries and succeeds at taking on defenders at a high rate, but because he has the ball so much, he also gets tackled and dispossessed a lot overall. However, his rate of dispossession relative to how much he is on the ball is actually not bad.
- While he has stats that resemble that of a highly creative attacker, he has the possession and ball carrying ability of a Box to Box midfielder. Would come deep into Norwich's defensive territory to claim the ball and was relied on to progress it up field and create shooting chances.
- A highly active defender, running back to help on defense and engaging ballcarriers at very high rates, albeit with average rate of success on a per attempt basis. Regardless, the stats lead you to believe that he's willing to operate in a press heavy team or one that requires him to sit back on a team that doesn't have much possession and won't be bad at either.
- And finally, Norwich was a bad team with him on the pitch, but they were even worse off without him. He statistically seemed to mean to Norwich, what Grealish meant to Villa (although I don't think he has that same ability to change a game with a moment of sheer brilliance like Grealish).


DETAILS (the meat of what I wanted to get across):
In this section, I want to look more closely at specific aspects of Buendia to breakdown strengths/weaknesses and see how the stats hold up to public perception. If you don't believe my words from above, this is where I provide the statistical perspective to try to back it up. Note: the lower the percentile, the worse it is, and vice versa. The percentile is calculated based on the standard deviation of the distribution and the distance of the individual from the mean, whereas rank is relative to how they directly stack up with their peers.

- Shot Chance Creation per 90: 93.3% (U25: 4th out of 124; All: 15th out of 270)
- Goal Chance Creation p90*: 29.0% (U25: 84th, All: 182nd)
The first stat documents the number of shots the player directly helps create (by making a pass, dribbling past an opponent, drawing a foul, or trying to take a shot which ricocheted off someone and led to someone else getting a chance to shoot), where as the latter stat does the same but only tracks actions which actually resulted in goals (not "goal worthy" chances). What this tells me is that Buendia is in a great territory when it comes to creating opportunities to take shots (specifically due to opportunities created from passes if you drill down more), but that these opportunities are not being converted into goals (if he was the one taking most of the shots, then you could attribute it him, but that's not the case). I'm not sure if we can conclude that this is due to his teammates letting him down by not converting efforts, but that is likely a factor.
- Assists p90: 82.5% (U25: 20th, All: 47th)
- xA p90*: 89.1% (U25: 10th, All: 21st)
- Passes Attempted p90*: 94.0% (U25: 8th, All: 18th)
- Pass Completion %: 51.1% (U25: 67th, All: 141st)
- Key Passes p90: 95.4% (U25: 4th, All: 10th)
- Completed Passes Into Final 3rd p90: 97.1% (U25: 5th, All: 8th)
- Completed Passes Into Penalty Area p90: 90.6% (U25: 4th, All: 19th)
- Completed Crosses Into Penalty Area p90: 36.7% (U25: 78th, All: 185th)
- Completed Progressive Passes p90: 98.8% (U25: 1st, All: 5th)
- Passes While Pressured: 99.3% (U25: 2nd, All: 3rd)
The above stats are a breakdown of his chance creation passing - again, he ranks incredibly in some of these very influential categories.
So what does the above tell us? Well, Buendia is on the high end of passes attempted and is pretty bang average on his overall completion rate (actually he's above average on short and mid range pass completion, but below average on long range), but that he is in the extremely high end of the spectrum for passing the ball into dangerous places (and maybe leads to lowering his overall completion % since these passes are likely tougher to make than a back pass or horizontal pass). Now, I can acknowledge that there is an argument to be made that those creative numbers are a reflection of his high pass attempts rate, but it generally does hold up even on a "% of pass attempts" basis (which isn't the case for all players):
- Key Passes per pass attempt: 83.7% (U25: 17th, All: 45th)
- Completed Passes Into Final 3rd per pass attempt: 95.8% (U25: 5th, All: 11th)
- Completed Passes Into Penalty Area per pass attempt: 69.2% (U25: 36th, All: 76th)
- Completed Crosses Into Penalty Area per pass attempt*: 23.1% (U25: 94th, All: 216th)
- Completed Progressive Passes per pass attempt: 92.0% (U25: 13th, All: 26th)
Bottom line: Buendia gets the ball to dangerous areas at a very high level.

- Touches p90: 97.5% (U25: 7th, All: 13th)
- *Touches p90 in Def Pen/Def 3rd/Mid 3rd/Attacking 3rd/ Att Pen: 99/100/92/81/12% (U25: 3rd/1/14/16/113, All: 6th/1/33/41/245)
- Dribbles Attempted p90*: 88.2% (U25: 20th, All: 30th)
- Dribble Success %: 96.6% (U25: 5th, All: 10th)
- # Players Dribbled Past p90*: 97.5% (U25: 5th, All: 9th)
- Dispossessions p90*: 3.7% (U25: 124th, All: 263rd)
- Dispossessions per Carry*: 42.4% (U25: 74th, All: 168th)
Buendia is on the ball A LOT, outpacing the other creative players in the cohorts by tracking back, taking the ball from deep, and being involved all the way until the opposing team's penalty area. He has the presence of a Box-to-Box player, but is creative like an attacker. He also takes on a lot of defenders and is quite great at getting past them.
Then comes the bad part to his game - dispossessions (I didn't see any stats to see where the dispossessions happen). Unfortunately, players who dwell on the ball and try to play around defenders as much as him typically do also have high numbers of dispossessions (I'm making this statement after looking at my database). Even the great players get dispossessed a ton (Neymar in the 0% percentile and Messi in the 15% percentile). However, just like I mentioned above for the passing metrics, raw p90 metrics doesn't paint the entire picture when you have a ton of attempts. So when you look at his Dispossessions per Carry, he's much more in line with the average - it's just that he carries the ball a lot more than the average player. If you look at other very direct players who have raw dispossession numbers, very few have as high a per carry rate (take a darling on this sub for example, Wilfred Zaha, 99th percentile for dribbles past a player, but 0th percentile for disposessions and 2th percentile for dispos. per carry).
I'm not trying to say that dispossessions aren't a weakness in his game - they are and I'm not denying that they could be due to stupid, silly giveaways which the stats would not capture. But it's also undeniable they're a direct result of how much he is on the ball. The perception of him as someone who gives the ball away in dangerous positions is a function of how deep he has to play to progress the ball on a bad Norwich team - you'd imagine that someone with his creative profile wouldn't be playing in his own defensive area so much. This is definitely projecting here, but you'd hope he'd likely be able to stay further up the pitch on a better team where his (average rate of) dispossessions wouldn't be as much of a problem.

I'm going to shorten my detail on the other areas of his game because my primary point is to convey his chance creation and ball progression abilities, since those are the key categories for creators. That's not to say that I'm trying to hide other aspects of his game and I will discuss them to provide a more holistic view of his profile - I'll just be a bit more brief since this has virtually turned into an essay...
- Goals p90: 1.8% (U25: 112th, All: 251st)
- xG p90*: 12.7% (U25: 109th, All: 244th)
- Shots p90* / Shots on Target p90*: 23/15% (U25: 97th/106th, All: 207th/229th)
- Tackles Attempted p90* / Success Rate: 100/54% (U25: 2nd/63rd, All: 3rd/132nd)
- Dribbles Contested p90 / Success Rate: 99/44% (U25: 1st/72nd, All: 3rd/151st)
- Dribbled Past p90* (as defender): 0% (U25: 124th, All: 270th)
- Pressed Ballcarrier p90 / Success Rate: 98/49% (U25: 5th/62nd, All: 7th/134th)
- Blocks p90* / Interceptions p90*: 99/75% (U25: 5th/27th, All: 6th/62nd)
Effectively, he's not much of a goal threat. But it's also a result of where he typically plays on the pitch - as you'll recall from his touches above, he typically doesn't get into the opponents penalty areas very much, so less opportunities to take shots.
As a defender, he seems like a high effort player who engages ballcarriers a lot, but with average returns (note: it's not saying that he's 50-50 tackler - he's actually 66% for successful tackle % - it just means that he sit's close to the average of the peer set). I'm not sure if this is how fans feel when watching him, but he seems to be a solid defensive player for a creator and someone who is willing to get back on defensive to provide support (as a lot of his tackle and press attempts come in the defensive 3rd). Nothing terrific, but good effort and active, with average returns.

- Team Net Goals (+/-) While On Pitch*: 6.9% (U25: 120th, All: 258th)
- Team Net Goals (+/-) While On Pitch vs Off: 76.6% (U25: 22nd, All: 66th)
- Team Net xG (+/-} While On Pitch*: 20.7% (U25: 104th, All: 221st)
- Team Net xG (+/-) While On Pitch vs Off: 74.1% (U25: 17th, All: 54th)
I think this is a nice metric to check impact / importance to a team, but I understand that there are a lot of other variables to consider when looking at on vs off (quality of competition, if a team is a man down, etc), so I take this part with a grain of salt. With that said, what this says for Buendia is that Norwich were not good when he was on the pitch, but they were much worse when he was off of it. Both net actual goals and net xG bear this out (which is true for most players, but not all). There may be cases where you remember Norwich playing better with Buendia off the pitch (as an Arsenal supporter, many of us noted that Norwich looked better of against us once they benched Buendia) - that may have been the case for certain individual games, but by-in-large the stats would suggest that through the season, Norwich were much better off with him on the pitch and he was an integral piece for them.
You can argue that with the dearth of quality around him (sorry Norwich supporters!), his stats and metrics are inflated - sure that could be the case and you can imagine that there's some regression to the mean if he joins a new club next season, but it's the same case with Jack Grealish and everyone would love to bring him onto their team at a much higher fee than Buendia would cost (he's the only other non-Man City EPL player in my the top 25 of my U25 list at #13, and #42 in my All ages list).
Since I started with my conclusion at the beginning of my post, I'll end by thanking you for reading all the way to the end here and with a quick summary of my case for Emi Buendia: while stats aren't everything, the data bears Buendia out to be a very high level creator with fantastic passing and ball-carrying ability who, while he has some weakness in terms of dispossessions and finishing, would represent a great bargain for the value he brings, especially when compared to the rates quoted on other high value players.
submitted by stitches_dc to soccer [link] [comments]


2020.08.03 22:29 stitches_dc [OC] A statistical case for Emi Buendia

tldr: this got longer than I expected, so I've bolded my key points if you don't want to read it all.
I was inspired a couple of days ago by a twitter thread by @MishraAbhiA that was posted on the sub which applied statistics to identify U24 players with high performance in a few specific creative metrics. Since he only tweeted summaries of his findings and only listed a small number of players, it left me with many questions, so I decided to investigate into deeper statistical analysis myself. I've start by looking at creative players, since I feel that's something that Arsenal is in dire need of, and noticed many interesting outputs and names.
But as you can tell from the title, this post is mostly going to focus on Emi Buendia. He seems to be a very divisive player these days (here and on soccer) - some basic stats indicate that he has many creative qualities, but there are many others who claim he as more damaging to a team based on anecdotal reference and stats regarding his sheer number of possessions lost in dangerous areas. So after I finished my statistical analysis on creative players, I wanted to scrutinize Buendia and see if there were conclusions I could make to affirm or contrast this general perception of him. Depending on how this is received, I may post other takeaways I found interesting (like other high value, bargain players). Just, maybe a bit shorter...
Quick disclaimer: stats are never the whole picture - they can be inaccurate, be made to be misleading, and are best used in conjunction with watching game tape. To the extent that I can, I will try to cover the stats in a holistic way. While I have been working towards getting my masters in data analytics, my true real world application of it is still small at this time, so if any of you have questions/comments about my methodology or inaccuracies in it, I will try to answer them or make fixes as needed (constructive criticism always appreciated!).

METHODOLOGY (skip if you don't care):
Simply put, I compiled a database of all available statistics on players from the 5 big leagues (via fbref), then used the data to create a peer analysis. Once you determine your peer groups (I used Wingers/Attacking Midfielders, as categorized by fbref, with over 810 mins logged this season), you normalize each player's stats so that it's relative to the peer set. By doing that, I can see in what percentile a player is in relative to that data set by using the mean and standard deviation of that set (generally better than simply creating a % by saying "he ranks 20th out of 100 players in the set, so he is in the 80th percentile).
It's important to note that there are different ways to do this, with one of the more simple ways being standardizing it to a normal distribution (the twitter thread that I linked earlier does a good job of explaining this succinctly) - and this is what I generally did. But this only works when the underlying data is distributed like a normal bell curve, which it isn't for a lot of the cases. I identified which stat categories fit well to a normal distribution and which don't. Sometimes, I could correct it by using a lognormal transformation to normalize it. Sometimes, it was random and fit no distribution, in which case I avoided that stat. Sometimes, it was due to a couple of players who had outlier performance in one stat that would have otherwise made the distribution normal - I tried avoiding using these if there was another proxy stat, but in cases where I do make reference to one of those stats, I provide an * to indicate that there may be some skew here. Those stats metrics are typically directionally correct, but have room for error in terms of percentile (anecdotally ~5-10% variance).

CONCLUSION (i'm putting this first since the detail section gets quite long):
This specific ranking is not supposed to be my main takeaway since it's a somewhat arbitrary way of combining stats, but I needed a succinct way getting my message across. Taking the average percentile, not rank, across MANY stat categories, Buendia ranked as 25th out of 270 players across all ages and 7th out of 124 players when looking at just U25 aged players. Again, this is for players categorized as wingers/attacking forwards by fbref who have over 810 mins of game time this season in one of the big 5 leagues.
For transparency sake (skip if desired), the stats that went into this ranking were:
- Dribble attempts per 90*, Dribble Success %, # of players dribbled past per 90*, Miscontrols p90, Dispossessions p90, Goals p90, xG p90*, Shots on Target p90*, Total pass attempts p90, Pass Completion %, Assists p90, xA p90*, Key Passes p90, Passes Into Final 3rd p90, Passes Into Penalty Area p90, Crosses Into PA p90, Progressive Passes p90, Passes While Pressured p90, Shot Creating Chances p90, Goal Creating Chances p90*, Tackles p90*, Tackle Win %, # Dribbles Contested (as defender) p90, Dribbles Successfully Tackled %, # Pressures (as defender) p90, Successful Pressure %, Blocks p90*, Interceptions p90*, Team Success (+/-) On - Off p90, Team Success (xG) On - Off p90
Now, like I mentioned, the ranking isn't what I want push here since it's tough to determine what combination of categories is bests to estimate the overall quality of a creative player (although I was somewhat comforted by the other names that topped the lists: Sancho, Bernardo Silva, Gnabry, Nkunku, Foden in U25; Messi, Dybala, Neymar, Muller, Sancho, Coutinho over all ages). Even with some deviation and inaccuracies in the above calculation, the goal of this rank is to show the general overall value range of Buendia. Combine that with the fact that he's among the cheapest for that value and already premier league tested, I think he would make a very smart buy.
From here on in my post, I break down in details some of the metrics that I used in my ranking above. It's quite long, so here are the key takeaways if you don't want to read much more:
- Buendia has elite Chance Creation ability, primarily by completing passes into the danger areas at a much higher rate than his peers.
- He doesn't shoot or score much, not his MO; potentially could stand to be more clinical with his chances as well.
- A very direct dribbler; tries and succeeds at taking on defenders at a high rate, but because he has the ball so much, he also gets tackled and dispossessed a lot overall. However, his rate of dispossession relative to how much he is on the ball is actually not bad.
- While he has stats that resemble that of a highly creative attacker, he has the possession and ball carrying ability of a Box to Box midfielder. Would come deep into Norwich's defensive territory to claim the ball and was relied on to progress it up field and create shooting chances.
- A highly active defender, running back to help on defense and engaging ballcarriers at very high rates, albeit with average rate of success on a per attempt basis. Regardless, the stats lead you to believe that he's willing to operate in a press heavy team or one that requires him to sit back on a team that doesn't have much possession and won't be bad at either.
- And finally, Norwich was a bad team with him on the pitch, but they were even worse off without him. He statistically seemed to mean to Norwich, what Grealish meant to Villa (although I don't think he has that same ability to change a game with a moment of sheer brilliance like Grealish).


DETAILS (the meat of what I wanted to get across):
In this section, I want to look more closely at specific aspects of Buendia to breakdown strengths/weaknesses and see how the stats hold up to public perception. If you don't believe my words from above, this is where I provide the statistical perspective to try to back it up. Note: the lower the percentile, the worse it is, and vice versa. The percentile is calculated based on the standard deviation of the distribution and the distance of the individual from the mean, whereas rank is relative to how they directly stack up with their peers.

- Shot Chance Creation p90: 93.3% (U25: 4th out of 124; All: 15th out of 270)
- Goal Chance Creation p90*: 29.0% (U25: 84th, All: 182nd)
The first stat documents the number of shots the player directly helps create (by making a pass, dribbling past an opponent, drawing a foul, or trying to take a shot which ricocheted off someone and led to someone else getting a chance to shoot), where as the latter stat does the same but only tracks actions which actually resulted in goals (not "goal worthy" chances). What this tells me is that Buendia is in a great territory when it comes to creating opportunities to take shots (specifically due to opportunities created from passes if you drill down more), but that these opportunities are not being converted into goals (if he was the one taking most of the shots, then you could attribute it him, but that's not the case). I'm not sure if we can conclude that this is due to his teammates letting him down by not converting efforts, but that is likely a factor.
- Assists p90: 82.5% (U25: 20th, All: 47th)
- xA p90*: 89.1% (U25: 10th, All: 21st)
- Passes Attempted p90*: 94.0% (U25: 8th, All: 18th)
- Pass Completion %: 51.1% (U25: 67th, All: 141st)
- Key Passes p90: 95.4% (U25: 4th, All: 10th)
- Completed Passes Into Final 3rd p90: 97.1% (U25: 5th, All: 8th)
- Completed Passes Into Penalty Area p90: 90.6% (U25: 4th, All: 19th)
- Completed Crosses Into Penalty Area p90: 36.7% (U25: 78th, All: 185th)
- Completed Progressive Passes p90: 98.8% (U25: 1st, All: 5th)
- Passes While Pressured: 99.3% (U25: 2nd, All: 3rd)
The above stats are a breakdown of his chance creation passing - again, he ranks incredibly in some of these very influential categories.
So what does the above tell us? Well, Buendia is on the high end of passes attempted and is pretty bang average on his overall completion rate (actually he's above average on short and mid range pass completion, but below average on long range), but that he is in the extremely high end of the spectrum for passing the ball into dangerous places (and maybe leads to lowering his overall completion % since these passes are likely tougher to make than a back pass or horizontal pass). Now, I can acknowledge that there is an argument to be made that those creative numbers are a reflection of his high pass attempts rate, but it generally does hold up even on a "% of pass attempts" basis (which isn't the case for all players):
- Key Passes per pass attempt: 83.7% (U25: 17th, All: 45th)
- Completed Passes Into Final 3rd per pass attempt: 95.8% (U25: 5th, All: 11th)
- Completed Passes Into Penalty Area per pass attempt: 69.2% (U25: 36th, All: 76th)
- Completed Crosses Into Penalty Area per pass attempt*: 23.1% (U25: 94th, All: 216th)
- Completed Progressive Passes per pass attempt: 92.0% (U25: 13th, All: 26th)
Bottom line: Buendia gets the ball to dangerous areas at a very high level.

- Touches p90: 97.5% (U25: 7th, All: 13th)
- *Touches p90 in Def Pen/Def 3rd/Mid 3rd/Attacking 3rd/ Att Pen: 99/100/92/81/12% (U25: 3rd/1/14/16/113, All: 6th/1/33/41/245)
- Dribbles Attempted p90*: 88.2% (U25: 20th, All: 30th)
- Dribble Success %: 96.6% (U25: 5th, All: 10th)
- # Players Dribbled Past p90*: 97.5% (U25: 5th, All: 9th)
- Dispossessions p90*: 3.7% (U25: 124th, All: 263rd)
- Dispossessions per Carry*: 42.4% (U25: 74th, All: 168th)
Buendia is on the ball A LOT, outpacing the other creative players in the cohorts by tracking back, taking the ball from deep, and being involved all the way until the opposing team's penalty area. He has the presence of a Box-to-Box player, but is creative like an attacker. He also takes on a lot of defenders and is quite great at getting past them.
Then comes the bad part to his game - dispossessions (I didn't see any stats to see where the dispossessions happen). Unfortunately, players who dwell on the ball and try to play around defenders as much as him typically do also have high numbers of dispossessions (I'm making this statement after looking at my database). Even the great players get dispossessed a ton (Neymar in the 0% percentile and Messi in the 15% percentile). However, just like I mentioned above for the passing metrics, raw p90 metrics doesn't paint the entire picture when you have a ton of attempts. So when you look at his Dispossessions per Carry, he's much more in line with the average - it's just that he carries the ball a lot more than the average player. If you look at other very direct players who have raw dispossession numbers, very few have as high a per carry rate (take a darling on this sub for example, Wilfred Zaha, 99th percentile for dribbles past a player, but 0th percentile for disposessions and 2th percentile for dispos. per carry).
I'm not trying to say that dispossessions aren't a weakness in his game - they are. But they're a direct result of how much he is on the ball. The perception of him as someone who gives the ball away in dangerous positions is a function of how deep he has to play to progress the ball on a bad Norwich team - you'd imagine that someone with his creative profile wouldn't be playing in his own defensive area so much. This is definitely projecting here, but you'd hope he'd likely be able to stay further up the pitch on a better team where his (average rate of) dispossessions wouldn't be as much of a problem.

I'm going to shorten my detail on the other areas of his game because my primary point is to convey his chance creation and ball progression abilities, things that this Arsenal team sorely lacks right now. That's not to say that I'm trying to hide other aspects of his game - I'll just be a bit more brief since this has virtually turned into an essay...
- Goals p90: 1.8% (U25: 112th, All: 251st)
- xG p90*: 12.7% (U25: 109th, All: 244th)
- Shots p90* / Shots on Target p90*: 23/15% (U25: 97th/106th, All: 207th/229th)
- Tackles Attempted p90* / Success Rate: 100/54% (U25: 2nd/63rd, All: 3rd/132nd)
- Dribbles Contested p90 / Success Rate: 99/44% (U25: 1st/72nd, All: 3rd/151st)
- Dribbled Past p90* (as defender): 0% (U25: 124th, All: 270th)
- Pressed Ballcarrier p90 / Success Rate: 98/49% (U25: 5th/62nd, All: 7th/134th)
- Blocks p90* / Interceptions p90*: 99/75% (U25: 5th/27th, All: 6th/62nd)
Effectively, he's not much of a goal threat. But it's also a result of where he typically plays on the pitch - as you'll recall from his touches above, he typically doesn't get into the opponents penalty areas very much, so less opportunities to take shots.
As a defender, he seems like a high effort player who engages ballcarriers a lot, but with average returns (note: it's not saying that he's 50-50 tackler - he's actually 66% for successful tackle % - it just means that he sit's close to the average of the peer set). I'm not sure if this is how fans feel when watching him, but he seems to be a solid defensive player for a creator and someone who is willing to get back on defensive to provide support (as a lot of his tackle and press attempts come in the defensive 3rd). Nothing terrific, but good effort and active, with average returns.

- Team Net Goals (+/-) While On Pitch*: 6.9% (U25: 120th, All: 258th)
- Team Net Goals (+/-) While On Pitch vs Off: 76.6% (U25: 22nd, All: 66th)
- Team Net xG (+/-} While On Pitch*: 20.7% (U25: 104th, All: 221st)
- Team Net xG (+/-) While On Pitch vs Off: 74.1% (U25: 17th, All: 54th)
I think this is a nice metric to check impact / importance to a team, but I understand that there are a lot of other variables to consider when looking at on vs off (quality of competition, if a team is a man down, etc), so I take this part with a grain of salt. With that said, what this says for Buendia is that Norwich were not good when he was on the pitch, but they were much worse when he was off of it. Both net actual goals and net xG bear this out (which is true for most players, but not all). I've seen people mention that Norwich was better of against us once they benched Buendia - that may have been the case that game, but by-in-large through the season they were much better off with him on it and he was an integral piece for them.
You can argue that with the dearth of quality around him, his stats and metrics are inflated - sure that could be the case and you can imagine that there's some regression to the mean if he joins a new club next season, but it's the same case with Jack Grealish and everyone would love to bring him onto their team at a much higher fee than Buendia would cost (he's the only other non-Man City EPL player in my the top 25 of my U25 list at #13, and #42 in my All ages list).
Since I started with my conclusion at the beginning of my post, I'll end by thanking you for reading all the way to the end here and with a quick summary of my case for Emi Buendia: while stats aren't everything, the data bears Buendia out to be a very high level creator with fantastic passing and ball-carrying ability who, while he has some weakness in terms of dispossessions and finishing, would represent a great bargain for the value he brings, especially when compared to the rates quoted on other high value players.
submitted by stitches_dc to Gunners [link] [comments]


2020.08.02 23:55 treate_e Could you complete this questionnaire about speedrunners?

Hi!
My name is Oliwia and I'm studying BA (Hons) Games Art and Design at Norwich University of the Arts. I'm going to soon start my 3rd year of uni and I decided to write my final dissertation about speedrunners. As part of my dissertation I need to gather more data and it would mean the world to me if you complete this form.
Thank you so much!
https://forms.gle/fCqUevbdNyYWxrFJ8?hl=en
submitted by treate_e to speedrun [link] [comments]


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