scholarly journals Analisis Akurasi Model Altman Modifikasi (Z”-Score), Zmijewski, Ohlson, Springate dan Grover Untuk Memprediksi Financial Distress Klub Sepak Bola

2021 ◽  
pp. 46-60
Author(s):  
Inayatul Lutfiyyah ◽  
Loggar Bhilawa
Keyword(s):  
Prediction Model ◽  
Financial Distress ◽  
Sampling Technique ◽  
Prediction Errors ◽  
Financial Difficulty ◽  
Accuracy Test ◽  
Premier League ◽  
Football Clubs ◽  
Type 2 Error ◽  
English Premier League

This study aims to find an accurate financial difficulty prediction model in English Premier League football, and also to compare with previous research so as to obtain the results of a financial difficulty prediction model that can be used for all football clubs. The way to determine the sample to be examined is using purposive sampling technique with a population of 49 English premier league clubs from 1992-2018, so that the number of samples obtained is 37 samples and then grouped in the categories of financial distress and nonfinancial distress. The method for analyzing data uses the model's accuracy test by comparing the model's prediction results with financial distress and nonfinancial distress sample categories and considering the results of the type 1 and type 2 error levels of each model. Error level 1 results from the sum of prediction errors that are actually financial distress but the results of the prediction of the nonfinancial distress model and vice versa. The results show that the model that has the highest level of accuracy for predicting financial distress in English premier league soccer clubs is the Zmijewski model with an accuracy rate of 72%. Keywords: Financial Distress, Football Club, Accuracy Test, Error Rate

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.

Understanding players' transition from youth to senior professional football environments: A coach perspective

2018 ◽  
Vol 13 (1) ◽  
pp. 26-37 ◽  
Author(s):  
Øystein Røynesdal ◽  
Tynke Toering ◽  
Henrik Gustafsson
Keyword(s):  
Social Dynamics ◽  
Higher Order ◽  
Professional Football ◽  
Structured Interviews ◽  
Premier League ◽  
Football Clubs ◽  
Key Stakeholders ◽  
Team Environment ◽  
Fitting In ◽  
English Premier League

The aim of this study was to explore: (a) sociocultural features of a first team environment perceived to influence a player's progression, (b) the ways in which young players should manage these features and (c) how coaches operate to assist young players during specific phases in the youth-to-senior transition. Semi-structured interviews with eight elite development coaches in English Premier League football clubs generated two higher order categories: fitting in with standards of first team environment (e.g. handling social dynamics in the first team group) and facilitating shared perception of transition across key stakeholders (e.g. communicating with first team staff). Together, these findings indicate the need for young players to navigate between conforming, adapting to and breaking with specific features of the first team environment to successfully progress in the youth-to-senior transition to professional football.

scholarly journals The Effects of Home-Grown Rule on Efficiency of Sports Teams : Evidence from English Premier League

2021 ◽  
Author(s):  
Seungmin Shin ◽  
Changhee Kim
Keyword(s):  
Data Envelopment Analysis ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Sports Teams ◽  
Competitive Edge ◽  
Premier League ◽  
Football Clubs ◽  
The Future ◽  
Playing Time ◽  
English Premier League

Abstract Research questionThe English Premier League, one of the most successful football league, is on the verge of losing its competitive edge due to Home-grown regulation proposal. This study focuses on the effects of this regulation on football clubs’ financial and operational efficiency. Research methodsTo accurately measure the effects of these measures, Data Envelopment Analysis (DEA) technique was used to 10 different Premier League Clubs spanning 7 years. Data of 10 clubs that have never been relegated were collected over 7 years. Results and findingsEfficiency score spread shows that clubs were seriously affected in efficiency in adjacent season after the implementation of the Home-grown regulation. Clubs were financially impacted due to rising cost of required Home-grown players, further depriving its financial footholds. Also, efficacy of this regulation was not effective as the Home-grown players did not gain much playing time in the field. ImplicationsFootball Association proposes further strengthening the Home-grown regulation in the future seasons. This study concludes that proposed home-grown regulation will further impact the football clubs financially as it was evident from the efficiency modeling in the study.

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