Machine Learning-Based Identification of the Strongest Predictive Variables of Winning and Losing in Belgian Professional Soccer by Youri Geurkink, Jan Boone, Steven Verstockt, Jan G. Bourgois

“…Similar modelling approaches can be used by clubs to identify the strongest predictive variables for their leagues, and evaluate and improve their current quantitative analyses.…”
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Relationship Between Maximum Aerobic Speed Performance and Volleyball Game Motor Power-Explosive Abilities by Mohammed Zerf, Mohamed Hadjar Kherfane, Kamel Kohli, Lakhdar Louglaib

“…To achieve this goal, we categorised the motor abilities (vertical jump, spike approach, block jump, 20-meter sprint, T-Test (agility) and standing triple jump) results of 60 elite male players (age 23 ± 1.56 with playing experience up to 5 years in the Oran elite leagues). We based ourselves on their MAS results in two levels (+ or – 4 m/s) in 1200 m Shuttle Test as a valuable test to measure player maximal aerobic speed profile.  …”
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The role of academic sport in health promotion - the example of the Academic Sports Association in Poland by Kajetan Suchecki, Karolina Sobczyk, Mateusz Grajek

“…The Association's Academic Championships of Poland and community leagues are the primary system of rivalry between universities in the country. …”
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A Bayesian Approach to Predict Football Matches with Changed Home Advantage in Spectator-Free Matches after the COVID-19 Break by Jaemin Lee, Juhuhn Kim, Hyunho Kim, Jong-Seok Lee

“…This study attempts to confirm if this belief is true in four major European football leagues through statistical analysis. This study proposes a Bayesian hierarchical Poisson model to estimate parameters reflecting the home advantage and the change in such advantage. …”
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Tackling noncommunicable diseases in Africa through football: The case of Malawi by Allan Kangwerema, Mictum Miggo, Gracian Harawa, Isabel Kazanga‐Chiumia, Usman Abubakar Haruna, Jackson Safari, Prosper Lutala, John Thumbiko Kaunda

“…For successful implementation, there must be a good collaboration among the Ministries of Health and Sports, local football leagues, and other stakeholders.…”
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Impact of COVID-19 on football attacking players’ match technical performance: a longitudinal study by Le Luo, Ge Sun, Enkai Guo, Hanbing Xu, Zhaohong Wang

“…Analyzing data from 100 players in the Big Five European football leagues, covering 1500 matches each before and after COVID-19 over 3 years (2020–2023), revealed significant differences in 76% of players’ MTP indicators. …”
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How Could a Football Player Transfer Business be More Successful? A Model-Based on Game Theory Approach by Zhaleh Memari, Maryam Esmaeili, Mojzhgan Jafari

“…Notably, the factors may differ in different leagues and various posts played by players.Originality: Game theory is a theoretical framework for solving conflicts in political and social affairs. …”
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Process evaluation of an academic dissemination and implementation science capacity building program by Clare Viglione, Borsika Rabin, Olivia Fang, Laura Sheckter, Gregory A. Aarons, Lauren Brookman-Frazee, Nicole A. Stadnick

“…Actionable steps include prioritizing technical assistance, strengthening networking opportunities, identifying streamlined approaches to facilitate DIS grant writing through writing workshops, as well as “office hours” or organized writing leagues.…”
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Sports and Consumption Expectations of Ecuadorians during the FIFA World Cup Qatar 2022 by Andrés Luna Montalvo, Wilson Nieto Aguilar, Diego Melo Pérez

“…The World Cup of the International Association Football Federation (FIFA) is a tournament that alters the routines of most countries and more so if the national team is part of the participating leagues. Ecuador experienced an atmosphere of that nature after waiting for eight years following its team’s last participation in Brazil 2014. …”
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Formation of National Teams Taking into Account the Factors of Football Players’ Club Migration by Eduard Sobol, Andrii Svatyev, Igor Doroshenko, Svitlana Kokareva, Nataliya Korzh, Eduard Doroshenko

“…Legionary footballers from the top six European leagues (England, Spain, Italy, Germany, France, Portugal) account for 87.50% of the total number of legionnaires who participated in the 2022 World Cup group stage qualifiers. …”
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Student-Athletes in american model of sport – characteristic of university sport in USA by Marek Owsianny

“…It brings closer the most important matters linked with practinig sport by students at universities in the United States and relationships between student-athletes, univesities, agents, different types of organizations and professional leagues. Description of the system established in academic sport in the United States gives also the opportunity to identify and evaluate its advantages and disadvantages.…”
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What Lurks Beneath – Human Fear of the Unknown by Tomislav Denegri

“…From Homer’s Odyssey and Daniel Defoe’s Robinson Crusoe to Jules Verne’s Twenty Thousand Leagues Under the Sea and Herman Melville’s Moby Dick, the sea has always featured prominently in Western literature. …”
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The relationship between self-efficacy and athlete burnout in elite volleyball players by Ç.V. Koçak

“…Purpose : The researches about the relationship between self-efficacy and athlete' burnout of elite volleyball players who playing in high level leagues is not available in the literature. The aim of this study is to investigate the relationship between self-efficacy and athletes’ burnout in elite volleyball players. …”
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Deaf and non-deaf basketball and volleyball players' multi-faceted difference on repeated counter movement jump performances: Height, force and acceleration by Recep Soslu, Ömer Özer, Abdullah Uysal, Ömer Pamuk

“…Athletes playing in the Turkish Deaf Basketball and Volleyball national teams and in Basketball and Volleyball First Leagues participated in the study. The study group consisted of 51 male athletes, including deaf basketball (n = 11; age: 26.18 ± 4.79 years), deaf volleyball (n = 12, age: 26.33 ± 4.27 years), non-deaf basketball (n = 14, age: 26.93 ± 4.87 years), and non-deaf volleyball (n = 14, age: 24.93 ± 5.10 years) players. …”
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Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance by Halil Gör

“…Besides ANN, six other approaches have been suggested to address this issue: heap-based optimization (HBO), leagues championship algorithm (LCA), multi-verse optimization (MVO), osprey optimization algorithm (OOA), cuckoo optimization algorithm (COA), and sooty tern optimization algorithm (STOA). …”
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Starting and running speed on the example of football clubs from Berlin by Paweł Kalinowski, Damian Jerszyński, Monika Nowakowska, Dariusz Pietranis

“…The German Bundesliga belongs to the Top 4 football leagues in Europe. Constant development of the discipline improves the training process. …”
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Position-specific differences in countermovement vertical jump force-time metrics in professional male basketball players by Dimitrije Cabarkapa, Nicolas M. Philipp, Damjana V. Cabarkapa, Andrew C. Fry

“…Twenty-eight athletes competing in top-tier European basketball leagues volunteered to participate in the present study. …”
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Entrepreneurial culture of sports business by A. B. Ilyin, Yu. S. Sizova

“…In the sports industry, for example, there are plenty of such events: football matches, hockey leagues, car competitions (Formula 1, Formula 2, Formula 3, Formula E). …”
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Cultures of time: radical politics in France, 1899–1913 by Paulin-Booth, ACM, Gildea, R

“…</p> <p>The study draws its sources from several overlapping circles of thinkers, writers, and activists: those who engaged in the Dreyfus Affair, those active in independent socialist and syndicalist groups, and those involved in nationalist leagues. Diverse though these groupings were, they all asked parallel questions about the nature of and the relationship between the temporal categories of past, present, and future. …”

Providing a Framework of Effective Components in Iranian Championship Sports with a Data Mining Approach by Laleh Kordavani, Alimohammd Safania, Masoud Naderian Jahromi, Abolfazl Farahani, Habib Honari

“…In the first part, nine influential factors including athletes/champion teams, leagues/clubs, stadiums/sports venues, fans/spectators, brands, media, government, academic/research institutions, and technology companies, were identified. …”
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