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The world of competitive Esports and video gaming has seen and continues to experience steady growth in popularity and complexity. Correspondingly, more research on the topic is being published, ranging from social network analyses to the…

Machine Learning · Computer Science 2020-02-18 Alfonso White , Daniela M. Romano

Over the past decade, the technology used by referees in football has improved substantially, enhancing the fairness and accuracy of decisions. This progress has culminated in the implementation of the Video Assistant Referee (VAR), an…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Jan Held , Anthony Cioppa , Silvio Giancola , Abdullah Hamdi , Christel Devue , Bernard Ghanem , Marc Van Droogenbroeck

Video storytelling is essential for sports performance analysis and fan engagement, enabling sports professionals and fans to effectively communicate and interpret the spatial and temporal dynamics of gameplay. Traditional methods rely on…

Human-Computer Interaction · Computer Science 2025-02-18 Tica Lin , Ruxun Xiang , Gardenia Liu , Divyanshu Tiwari , Meng-Chia Chiang , Chenjiayi Ye , Hanspeter Pfister , Chen Zhu-Tian

Player tracking data remains out of reach for many professional football teams as their video feeds are not sufficiently high quality for computer vision technologies to be used. To help bridge this gap, we present a method that can…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Matthew J. Penn , Christl A. Donnelly , Samir Bhatt

One of the most important and challenging problems in football is predicting future player performance when transferred to another club within and between different leagues. In addition to being the most valuable prediction a team makes, it…

Machine Learning · Computer Science 2022-01-28 Daniel Dinsdale , Joe Gallagher

It is not surprise for machine learning models to provide decent prediction accuracy of soccer games outcomes based on various objective metrics. However, the performance is not that decent in terms of predicting difficult and valuable…

Machine Learning · Computer Science 2020-08-05 Liyao Lu , Qiang Lyu

Accurately predicting sports viewership is crucial for optimizing ad sales and revenue forecasting. Social media platforms, such as Reddit, provide a wealth of user-generated content that reflects audience engagement and interest. In this…

Machine Learning · Computer Science 2024-12-16 Anakin Trotter

Machine learning models have become increasingly popular for predicting the results of soccer matches, however, the lack of publicly-available benchmark datasets has made model evaluation challenging. The 2023 Soccer Prediction Challenge…

Machine Learning · Computer Science 2023-09-27 Calvin Yeung , Rory Bunker , Rikuhei Umemoto , Keisuke Fujii

Defensive coverage schemes in the National Football League (NFL) represent complex tactical patterns requiring coordinated assignments among defenders who must react dynamically to the offense's passing concept. This paper presents a…

Machine Learning · Computer Science 2026-03-30 Kevin Song , Evan Diewald , Ornob Siddiquee , Chris Boomhower , Keegan Abdoo , Mike Band , Amy Lee

While several high profile video games have served as testbeds for Deep Reinforcement Learning (DRL), this technique has rarely been employed by the game industry for crafting authentic AI behaviors. Previous research focuses on training…

In all competitions where results are based upon an individual's performance the question of whether the outcome is a consequence of skill or luck arises. We explore this question through an analysis of a large dataset of approximately one…

Physics and Society · Physics 2021-06-09 Joseph D. O'Brien , James P. Gleeson , David J. P. O'Sullivan

Accurately estimating human skill levels is crucial for designing effective human-AI interactions so that AI can provide appropriate challenges or guidance. In games where AI players have beaten top human professionals, strength estimation…

Machine Learning · Computer Science 2025-05-02 Kyota Kuboki , Tatsuyoshi Ogawa , Chu-Hsuan Hsueh , Shi-Jim Yen , Kokolo Ikeda

The Werewolf game is a social deduction game based on free natural language communication, in which players try to deceive others in order to survive. An important feature of this game is that a large portion of the conversations are false…

Artificial Intelligence · Computer Science 2023-02-22 Hisaichi Shibata , Soichiro Miki , Yuta Nakamura

Understanding sports is crucial for the advancement of Natural Language Processing (NLP) due to its intricate and dynamic nature. Reasoning over complex sports scenarios has posed significant challenges to current NLP technologies which…

Computation and Language · Computer Science 2024-06-24 Zhengbang Yang , Haotian Xia , Jingxi Li , Zezhi Chen , Zhuangdi Zhu , Weining Shen

Fantasy basketball has a rich underlying mathematical structure which makes optimal drafting strategy unclear. A central issue for category leagues is how to aggregate a player's statistics from all categories into a single number…

Methodology · Statistics 2024-09-10 Zach Rosenof

In this work, we extended a stochastic model for football leagues based on the team's potential [R. da Silva et al. Comput. Phys. Commun. \textbf{184} 661--670 (2013)] for making predictions instead of only performing a successful…

Physics and Society · Physics 2022-06-08 Eduardo V. Stock , Roberto da Silva , Henrique A. Fernandes

The performance of football players in English Premier League varies largely from season to season and for different teams. It is evident that a method capable of forecasting and analyzing the future of these players on-field antics shall…

Computers and Society · Computer Science 2019-10-01 Akhil Gupta

American football is an increasingly popular sport, with a growing audience in many countries in the world. The most watched American football league in the world is the United States' National Football League (NFL), where every offensive…

Machine Learning · Statistics 2021-09-17 Gustavo Pompeu da Silva , Rafael de Andrade Moral

Soccer is a sparse rewarding game: any smart or careless action in critical situations can change the result of the match. Therefore players, coaches, and scouts are all curious about the best action to be performed in critical situations,…

Machine Learning · Computer Science 2021-09-15 Pegah Rahimian , Afshin Oroojlooy , Laszlo Toka

A team of association football players may be envisioned as a directed network with player nodes and weighted pass edges. Such a simplistic representation of an otherwise complex structure yields several benefits, but also permits the…

Social and Information Networks · Computer Science 2021-08-12 Vid Stropnik , Vuk Đuranović , Maruša Oražem