Predictors of Crowd Effect in Football: Evidence From Five Major Football Leagues of Europe by Abdullah Yiğit Güngör, Tuncer Gövdeli

“…This study aims to determine predictors of crowd effect in five major football leagues in Europe. Literature review shows that crowd effect can be determined as size, proximity or density for the analysis. …”
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Explore Machine Learning's Prediction of Football Games by Pan Bomao

“…The aim of this study is to predict the outcome and score of football matches. To achieve this goal, this paper employs a variety of machine learning models, including Random Forest, support vector classifiers (SVC), and Logistic Regression, and conducts in-depth analysis of the data. …”
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An extensive analysis of Brazil and the Netherlands determinants of football attendance by Matthijs Edel

Subjects: “…football stadium attendance…”
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Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach by Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, Paulo Santos, Armin Gorouhi, Luca Paolo Ardigò, Hadi Nobari

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Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

“…After the introduction of online learning mechanism, the traditional target tracking algorithm in football game video based on TLD has good tracking ability, but it will lose the target when the target is seriously obscured. …”
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The Limited Impact of Running Performance on Football Success in the Turkish Super League by Spyridon Plakias, Sotiris Tasoulis, Angelos E. Kyranoudis, Christos Kokkotis, Serafeim Moustakidis

“…Given that performance in football depends on tactical, technical, physical, and mental skills, the purpose of this study was to investigate whether there are differences in running performance between winning and non-winning teams in the Turkish League, taking into account the influence of game location and the comparative quality of the team and its opponents. …”
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Head in the game: the impact of cognitive abilities on performance of National Football League quarterbacks by R. Thomas Boone, Nicholas S. Zambrotta, Andrew M. Manocchio, James K. Bowman

“…Utilizing data obtained from 42 National League Football (NFL) quarterbacks, collected at their respective Combine experience, the current study adds to existing research demonstrating that cognitive abilities, as measured by the Athletic Intelligence Quotient (AIQ), namely Visual Spatial Processing, Reaction Time, and Decision Making, all increase the predictive accuracy beyond the role of draft pick at the Combine. …”
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Les territoires du football en Tunisie (1906-2015) by Ali Langar, Myriam Baron, Claude Grasland

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The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning by Chuan Mou

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How do the STAD cooperative learning model, conventional methods, and student confidence affect football learning outcomes? by Atradinal Atradinal, Yovhandra Ockta

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Predictive analysis of ratings of perceived exertion in elite Gaelic football by Dermot Sheridan, Aidan J. Brady, Dongyun Nie, Mark Roantree

“…This study aimed to compare the predictive accuracy of absolute and relative external load indices (ELI) across three machine learning models, and predict the rating of perceived exertion (RPE) of elite Gaelic football players using ELI, personal characteristics, wellness scores, and training workloads. …”
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The Impact of the Pandemic on Sports Companies: Comparative Rate Analysis of Champions League and Turkish Football Companies by Ayşe Nur Şahin

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Real-Time Football Match Prediction Platform by An Zhongqi

“…The platform employs machine learning models, including Random Forest, Support Vector Machines (SVM), and Neural Networks, combined with feature engineering techniques, to generate accurate predictions. …”
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Body composition, anaerobic power, lower extremity strength in football players: Acute effect on different leagues by Hamza Küçük, Mehmet Söyler

“…The aim of the study was to compare differences in body composition, lower extremity strength, and anaerobic power characteristics among professional football players at different league levels. A total of seventy-one volunteer players aged between eighteen and thirty-five years (mean age: 23.14 ± 4.23 years) participated in the study, representing the Super League, 1st League, and 2nd League. …”
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Mental Toughness Levels of Male and Female Football Players by Alpaslan Kartal, Berzan Şimşek, Samet Aktaş

Subjects: “…the aim of this study is to determine the mental toughness levels of male and female football players in sports. the population of the study consists of female football players from the super league in 2021-2022 and amateur football players in the province of batman. the sample of the study consists of 232 football players who voluntarily participated in the online questionnaire. data on the introductory characteristics of the players were obtained with a "personal information form". …”
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The Influence of Pro Evolution Soccer Game-Based Learning on Understanding Football Rules among Tenth Grade Students by Irvan Abdillah, Samsuddin Siregar, Rafael Burgueño, Felisa Romo Lea, Gertude Barton

Subjects: “…game-based learning…”
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Characteristics of participants in a public rubella antibody testing program conducted at a Japan professional football league venue by Toshinori Nishizawa, Kuniyoshi Hayashi, Noriyuki Amano, Gautam A. Deshpande, Hiroko Arioka

Subjects: “…Japan's professional football league…”
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The Effect of the First Goal on the Score of the Match and Home Advantage in Football: Analysis of Turkish Super League and 1st League in Pre-Pandemic and Pandemic Period by Serdar Yıldırım, Gökhan Hadi, Kemal Göral

“…As a result, the rate of leaving the football pitch with a win after the first goal in the matches played in both the Super League and the 1st League was found to be quite high. …”
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The Influence of Domestic Players on the Success in National and International Competitions in Football by Michal Varmus, Pavol Boško, Roman Adámik, Dominika Toman, Zakaria Elkhwesky

“…The main goal was to analyse the influence of domestic and foreign athletes playing football in teams in the best national leagues on the success in national and international competitions (UEFA Euro, FIFA World Cup). …”
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Analysis of the efficiency of financial and economic activities of russian football clubs by A. A. Aliev, O. V. Litvishko, A. I. Yusifova, A. A. Fateeva

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