Modeling the impact of players’ workload on the injury-burden of English Premier League football clubs

2018 ◽  
Vol 28 (6) ◽  
pp. 1715-1721 ◽  
Author(s):  
C. W. Fuller
Keyword(s):  
Premier League ◽  
Football Clubs ◽  
Injury Burden ◽  
The Impact ◽  
English Premier League

scholarly journals The English Premier League Internet Broadcasting Rights Selling Model – Historical Study

GYMNASIUM ◽  
2019 ◽  
Vol XIX (2) ◽  
pp. 44
Author(s):  
Christos Koutroumanides ◽  
Panagiotis Alexopoulos ◽  
Athanasios Laios ◽  
John Douvis
Keyword(s):  
New Record ◽  
Smart Phones ◽  
Historical Study ◽  
Live Streaming ◽  
Premier League ◽  
Football Clubs ◽  
The Uk ◽  
Selling Process ◽  
English Premier League ◽  
Mobile Broadcasting

In the last years football clubs games broadcasting rights selling process, internet and mobile phone packages are included too. Internet is a widely accepted and useful mean of communication, something that was immediately recognized by the football authorities and clubs in all countries. Same ways, the gradually increased use of smart phones led to the inclusion of the mobile broadcasting rights in the total selling rights packages. The latest rights auction is of paramount importance, not only because the rights value will break a new record, but also because among the interested parties and bidders are some of the world’s tech giants such as Amazon, Google and Netflix. Live streaming Premier League matches looks to be the next frontier and PL hope tech giants like Amazon, Google, Facebook and Netflix will enter the auction and push the price of the UK package above its current standing of £5.14billion

Do match officials give preferential treatment to the strongest football teams? An analysis of four top European clubs

2018 ◽  
Vol 14 (4) ◽  
pp. 185-199 ◽  
Author(s):  
Francesco Audrino
Keyword(s):  
Statistical Power ◽  
Causal Effect ◽  
Preferential Treatment ◽  
Data Set ◽  
Premier League ◽  
Football Clubs ◽  
European Football ◽  
Effect Estimation ◽  
English Premier League ◽  
General Opinion

Abstract We address the fiercely debated question of whether the strongest European football clubs get special, preferential treatment from match officials in their decisions on the teams’ players over the course of the teams’ trophy winning streaks. To give an empirical answer to this question, we apply a rigorous econometric analysis for causal effect estimation to a self-constructed data set. We consider the two clubs in the Italian Serie A that experienced a prolonged winning streak during the period 2006–2016, namely Internazionale Milan (Inter) and Juventus Turin, as well as one team from the German Bundesliga (Borussia Dortmund) and one from the English Premier League (Manchester United) that also experienced a winning streak during the same period. This allows us to perform an analysis with enough statistical power to be able to estimate properly the effect of interest. The general opinion among fans, sports journalists, and insiders that the strongest clubs are favored by match officials’ decisions is supported only by the results of the analysis we run for Juventus, whereas for the other clubs under investigation, we did not find any significant bias. During its winning streak, more yellow cards and total booking points (an aggregated measure of yellow and red cards) were given to Juventus opponents. These effects are not only statistically significant, but also have a sizeable impact.

scholarly journals Estimation of injury costs: financial damage of English Premier League teams’ underachievement due to injuries

2020 ◽  
Vol 6 (1) ◽  
pp. e000675
Author(s):  
Eyal Eliakim ◽  
Elia Morgulev ◽  
Ronnie Lidor ◽  
Yoav Meckel
Keyword(s):  
Team Sports ◽  
Interpolation Formula ◽  
Economic Incentive ◽  
Prize Money ◽  
Team Members ◽  
Premier League ◽  
Financial Perspective ◽  
Football Clubs ◽  
Individual Sports ◽  
English Premier League

BackgroundIn individual sports, the effect that injuries have on an athlete’s performance, success and financial profit is implicit. In contrast, the effect of a single player’s injury or one player’s absence in team sports is much more difficult to quantify, both from the performance perspective and the financial perspective.ObjectivesIn this study, we attempted to estimate the effect of injuries on the performance of football teams from the English Premier League (EPL), and the financial implications derived from this effect.MethodsOur analysis is based on data regarding game results, injuries and estimations of the players’ financial value for the 2012–2013 through the 2016–2017 seasons.ResultsWe found a statistically significant relationship (r=−0.46, 95% CI −0.6 to 0.28, p=0.001) between the number of days out due to injuries suffered by team members during a season and the place difference between their actual and expected finish in the EPL table (according to overall player value). Moreover, we can interpolate that approximately 136 days out due to injury causes a team the loss of one league point, and that approximately 271 days out due to injury costs a team one place in the table. This interpolation formula is used as a heuristic model, and given the relationship specified above accounts for a significant portion of the variance in league placement (21%), the remaining variance is related to other factors. Calculating the costs of wage bills and prize money, we estimate that an EPL team loses an average of £45 million sterling due to injury-related decrement in performance per season.ConclusionProfessional football clubs have a strong economic incentive to invest in injury prevention and rehabilitation programmes.

scholarly journals The impact of English Premier League broadcasts on Danish spectator demand: a small league perspective

2019 ◽  
Vol 89 (6) ◽  
pp. 633-653 ◽  
Author(s):  
Christian Gjersing Nielsen ◽  
Rasmus K. Storm ◽  
Tor Georg Jakobsen
Keyword(s):  
Premier League ◽  
The Impact ◽  
English Premier League

You don't know what you're doing! The impact of managerial change on club performance in the English Premier League

2014 ◽  
Vol 19 (6) ◽  
pp. 390-399 ◽  
Author(s):  
Stuart W. Flint ◽  
Daniel J. Plumley ◽  
Robert J. Wilson
Keyword(s):  
Premier League ◽  
The Impact ◽  
English Premier League

scholarly journals Video kills the sentiment—Exploring fans’ reception of the video assistant referee in the English premier league using Twitter data

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242728
Author(s):  
Otto Kolbinger ◽  
Melanie Knopp
Keyword(s):  
Gradient Boosting ◽  
Support Vector ◽  
Classification Problems ◽  
Significant Drop ◽  
Text Corpora ◽  
Premier League ◽  
Evaluative Research ◽  
Negative Sentiment ◽  
The Impact ◽  
English Premier League

Evaluative research of technological officiating aids in sports predominantly focuses on the respective technology and the impact on decision accuracy, whereas the impact on stakeholders is neglected. Therefore, the aim of this study was to investigate the immediate impact of the recently introduced Video Assistant Referee, often referred to as VAR, on the sentiment of fans of the English Premier League. We analyzed the content of 643,251 tweets from 129 games, including 94 VAR incidents, using a new variation of a gradient boosting approach to train two tree-based classifiers for text corpora: one classifier to identify tweets related to the VAR and another one to rate a tweet’s sentiment. The results of 10-fold cross-validations showed that our approach, for which we only took a small share of all features to grow each tree, performed better than common approaches (naïve Bayes, support vector machines, random forest and traditional gradient tree boosting) used by other studies for both classification problems. Regarding the impact of the VAR on fans, we found that the average sentiment of tweets related to this technological officiating aid was significantly lower compared to other tweets (-0.64 vs. 0.08; t = 45.5, p < .001). Further, by tracking the mean sentiment of all tweets chronologically for each game, we could display that there is a significant drop of sentiment for tweets posted in the periods after an incident compared to the periods before. A plunge that persisted for 20 minutes on average. Summed up, our results provide evidence that the VAR effects predominantly expressions of negative sentiment on Twitter. This is in line with the results found in previous, questionnaire-based, studies for other technological officiating aids and also consistent with the psychological principle of loss aversion.

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