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Bayesian approach to classification of football match outcome
Published 2018“…The required of football data is the English Premier League match results for three seasons; 2016 – 2017, 2015 – 2016 and 2014 – 2015 downloaded from http://www.football-data.co.uk. …”
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42
Estimating the England Premier League Ranking with Artificial Neural Network
Published 2021-04-01“…Thanks to the ANN model developed by training and testing according to the findings, the training, validation, test, and all regression values of the English Premier League have been obtained as 0.99779, 0.98123, 0.96981, and 0.98769, respectively. …”
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43
Applying UEFA Financial Fair Play Rules and Improving the Financial Stability of Football Clubs Illustrated by the Example of Manchester City FC
Published 2020-08-01“…The author estimated the potential Losses of Manchester City due to the Champions League ban, and, in addition, the total losses due to the English Premier League suspension amid coronavirus threat. …”
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44
PREDIKSI HASIL PERTANDINGAN SEPAK BOLA LIGA PREMIER INGGRIS DENGAN ARTIFICIAL NEURAL NETWORK BACKPROPAGATION
Published 2023-12-01“…This study aims to enhance the accuracy of predicting English Premier League football match outcomes by utilizing a partially updated Artificial Neural Network (ANN) model based on match outcome data from the period 2017 to 2021. …”
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45
Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe
Published 2022-04-01“…In this context, data regarding the variables includes from the season of 2005-2006 to 2019-2020 for English Premier League, French Ligue 1, German Bundesliga, Italian Serie A, Spanish La Liga. …”
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46
Match performance variables influential in selection into the English national football team
Published 2019“…Method: Match actions data of English players playing in the English Premier League (EPL) from 2012-2018 were collected, with analysis done on 828 season-long observations. …”
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Final Year Project (FYP) -
47
On Predicting Soccer Outcomes in the Greek League Using Machine Learning
Published 2022-08-01“…For comparative reasons, the best model is also tested on the English Premier League and the Dutch Eredivisie, exploiting data statistics from six seasons from 2014 to 2020. …”
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48
Room for Improvement in Sports Nutrition Knowledge amongst Parents and Caregivers of Male Academy Soccer Players in the UK: A Cross-Sectional Study
Published 2023-10-01“…Across a single competitive season, 360 registered parents and caregivers of male soccer players from English Premier League under 9–11 (Foundation Phase) and under 12–16 (Youth Development Phase) age group academies completed an online version of the 88-item validated Nutrition for Sport Knowledge Questionnaire. …”
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49
Detecting player's position using in-game statistics : a machine learning approach
Published 2021“…Method: Season-long observations of performance statistics of players in the English Premier League (EPL) and German Bundesliga from 2014-2021 were collected. …”
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Final Year Project (FYP) -
50
Predicting the timing of the peak of the pubertal growth spurt in elite male youth soccer players: evaluation of methods
Published 2020-05-01“…Subjects and methods A final sample of 23 (from 28) adolescent male participants were selected from the academy of an English Premier League club. Anthropometric measures were collected across five playing seasons; age at PHV was estimated with Super-Imposition by Translation and Rotation (SITAR). …”
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51
Measuring the pitch control of professional football players using spatiotemporal tracking data
Published 2023-01-01“…We study pitch control in football, using data from six complete seasons of the English Premier League. Our objective is to investigate features of pitch control in the data. …”
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52
Effects of Bio-Banding upon Physical and Technical Performance during Soccer Competition: A Preliminary Analysis
Published 2019-08-01“…Twenty-five male soccer athletes (11−15 years) from an English Premier League soccer academy participated in bio-banded and chronological competition, with physical and technical performance data collected for each athlete. …”
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53
Contextualised high-intensity running profiles of elite football players with reference to general and specialised tactical roles
Published 2022-05-01“…A total of 244 English Premier League players were analysed by coding player’s physical-tactical actions via the fusion of tracking data and video. …”
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54
The problem of pay-tv price wars for sports, particularly English football
Published 2014“…The most significant, and high profile, contests for such rights are for sports programmes, most notably the English Premier League (“EPL”, or, “BPL”). Such price wars by pay-TV operators have spiralled into loss-making bids and a consequent rise in consumer costs around the world. …”
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Thesis -
55
An enhanced Bayesian Network prediction model for football matches based on player performance
Published 2017“…The dataset used was data for the Arsenal Football Club in the English Premier League (EPL) for seasons 2014-2015 and 2015-2016. …”
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Thesis -
56
The Influence of Playing Position and Contextual Factors on Soccer Players’ Match Differential Ratings of Perceived Exertion: A Preliminary Investigation
Published 2018-02-01“…This preliminary study investigated the effects of playing position and contextual factors on elite soccer players’ dRPE. (2) Methods: Thirty-two male English Premier League players recorded dRPE scores 15–30 min post-match for RPE-B, RPE-L, and RPE-T. …”
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57
Disciplinary measures defining referee activity in top-European football leagues: A cross-sectional investigation
Published 2024-02-01“…The dataset of the referee activities concerning 15 indicators containing 602 matches from five consecutive seasons across the five top European leagues, namely, the English Premier League, Spanish Laliga, Italian Serie A, French Ligue1, and German Bundesliga were utilized for this study. …”
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58
A new similarity function for Pythagorean fuzzy sets with application in football analysis
Published 2024-01-01“…In terms of practical application, we use the newly developed method of SFPFSs to discuss the relationship between the players of the Liverpool Football Club (FC) in the 2022/2023 English Premier League (EPL) season to assess their performances in their resurgent moments within the season. …”
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59
Three essays on injuries and performance
Published 2020“…I empirically test my theoretical model using data on injuries and performance from professional soccer matches (Essay 2: 1,520 matches in the English Premier League; Essay 3: 1,105 matches in Major League Soccer). …”
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Thesis-Doctor of Philosophy -
60
Hypernetworks Reveal Compound Variables That Capture Cooperative and Competitive Interactions in a Soccer Match
Published 2017-08-01“…Finally, we applied hypernetworks analysis to soccer games from the English premier league (season 2010–2011) by using two-dimensional player displacement coordinates obtained with a multiple-camera match analysis system provided by STATS (formerly Prozone). …”
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