Groll Andreas, Liebl Dominik
Fakultät Statistik, TU Dortmund University, Vogelpothsweg 87, 44221 Dortmund, Germany.
Institute of Finance and Statistics, University Bonn, Adenauerallee 24-26, 53113 Bonn, Germany.
Adv Stat Anal. 2023;107(1-2):1-7. doi: 10.1007/s10182-022-00453-9. Epub 2022 Jul 11.
Triggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists design experiments involving non-standard data structures like movement-trajectories. This special issue on statistics in sports is dedicated to further foster the development of statistics and its applications in sports. The contributed articles address a wide range of statistical problems such as statistical methods for prediction of game outcomes, for prevention of sports injuries, for analyzing sports science data from movement laboratories, for measurement and evaluation of player performance, etc. Finally, also SARS-CoV-2 pandemic-related impacts on the sport's framework are investigated.
在数据收集技术进步的推动下，过去几十年来，统计分析、预测和建模技术在体育领域的应用受到了越来越广泛的关注。如今，职业运动队能够获取精确的球员定位数据，体育科学家也设计了涉及运动轨迹等非标准数据结构的实验。本期体育统计学特刊致力于进一步推动统计学在体育领域的发展及其应用。投稿文章探讨了广泛的统计问题，如比赛结果预测的统计方法、运动损伤预防的统计方法、运动实验室体育科学数据分析的统计方法、球员表现测量与评估的统计方法等。最后，还研究了新冠疫情对体育框架的相关影响。
