篮球
地铁列车时刻表
钥匙(锁)
应用心理学
心理学
统计
计算机科学
地理
计算机安全
数学
考古
操作系统
作者
Pierpaolo Sansone,Lorenzo Gasperi,Daniele Conte,Aaron T. Scanlan,Jaime Sampaio,Miguel‐Ángel Gómez
标识
DOI:10.1080/02640414.2024.2409557
摘要
This study examined the effects of game schedule, travel demands and contextual factors on team game-related statistics during a full season. The top 10 teams competing in the 2020-2021 Euroleague basketball season were included where game-related statistics from their respective national competitions and the Euroleague competition were retrieved (761 games). Hierarchical linear regression models were computed to evaluate the effects of distance travelled, game schedule and contextual factors for the previous and current games (league, season phase, opponent level, game outcome, score differential) on key performance indicators (points, shooting, rebounds, assists, turnovers, fouls). Several significant models (
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