OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer

C Yeung, K Ide, T Someya, K Fujii - arxiv preprint arxiv:2502.02785, 2025 - arxiv.org
Sports analytics has become both more professional and sophisticated, driven by the
growing availability of detailed performance data. This progress enables applications such …

Predicting Trip Purposes of Households in Makurdi Using Machine Learning: A Comparative Analysis of Decision Tree, CatBoost, and XGBoost Algorithms

EO Nwafor, FO Akintayo - Engineering Applications, 2024 - publish.mersin.edu.tr
This study explores the application of machine learning techniques for predicting trip
purposes in Makurdi, Nigeria, utilizing three advanced algorithms: Decision Tree (DT) …

Sports Analytics

H Fromm - Digitalisierung und Innovation im Sport und in der …, 2025 - Springer
Mit der fortschreitenden Digitalisierung im Sport erlebten auch die sogenannten Sports
Analytics einen enormen Aufschwung. Das Buch „Moneyball “und dessen Verfilmung waren …

機械学習の集団スポーツへの導入とその課題

藤井慶輔 - 人工知能, 2025 - jstage.jst.go.jp
図 1 スポーツ分析の現状と将来展望とその課題. 従来のスポーツ分析には,(1)
フィールド上の選手の位置の計測および認識と,(2) 実空間でのシュートやパスなどの結果の分析が …

Optimizing Sports Outcome Prediction Through Feature Engineering and Machine Learning

VS Freitas - 2024 - bearworks.missouristate.edu
The challenge of predicting the outcome of a team game lies in the high complexity and
dynamics of the sports data. This thesis focuses on the aspect of using feature engineering …