Home Sweet Court? Examining Disparities in Individual Performance Between All-NBA and Non-All-NBA Players: Home Versus Away Games Comparison Across 23 Seasons (1997-2023).

IF 1.4 4区 心理学 Q4 PSYCHOLOGY, EXPERIMENTAL
Perceptual and Motor Skills Pub Date : 2025-06-01 Epub Date: 2025-03-02 DOI:10.1177/00315125251320134
Enrique Alonso-Pérez-Chao, Adrian Martin-Castellanos, Julio Calleja-González, Ruben Portes, Sergio L Jiménez-Sáiz
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引用次数: 0

Abstract

In this study, we assessed players' technical and tactical performance, based on home or away venues and examined whether these differences varied between All-NBA and Non-All-NBA players. We analyzed data from 23 NBA seasons (1997-1998 to 2022-2023), excluding seasons impacted by lockouts and pandemic restrictions. The dataset, sourced from open-access NBA records, included 243,067 games and variables such as points per game, rebounds (offensive and defensive), shooting percentages (2-points %, 3-points %, free-throw %), assists, steals, blocks, turnovers, personal fouls, and efficiency, normalized per 48 minutes of play. We found significant differences based on venue and player tier. Points per game were higher at home (p < .001) and for All-NBA players (p < .001), with a strong interaction effect showing that All-NBA players performed best at home. Free throw and 2P % were also higher at home and for All-NBA players (both p < .001). Efficiency, assists, and rebounds were higher at home and for All-NBA players, with interaction effects showing that All-NBA players at home excelled over other conditions (all p < .001). Turnovers were higher for All-NBA players at home (p < .001), while steals were lower for Non-All-NBA players in away games. Blocks were highest at home, with Home All-NBA players leading (p < .001). Personal fouls were higher in away games and for Non-All-NBA players (p < .001). We concluded that both venue and player tier were significantly associated with better performance, with home games offering a distinct advantage and All-NBA players showing superior performance to Non-All-NBA Players across most metrics. Practical applications include optimizing recovery and travel schedules to manage away-game challenges, leveraging home-court advantages, and tailoring strategies to maximize elite player performance in different environments.

甜蜜的家?考察nba最佳球员和非最佳球员个人表现的差异:主客场比赛对比,共23个赛季(1997-2023)。
在这项研究中,我们评估了球员在主场或客场的技术和战术表现,并检查了这些差异在nba最佳球员和非nba最佳球员之间是否存在差异。我们分析了23个NBA赛季(1997-1998至2022-2023)的数据,不包括受停摆和流行病限制影响的赛季。数据集来源于开放的NBA记录,包括243,067场比赛和变量,如场均得分、篮板(进攻和防守)、投篮命中率(2分%、3分%、罚球%)、助攻、抢断、盖帽、失误、个人犯规和效率,每48分钟标准化。我们发现场地和玩家级别存在显著差异。在主场的场均得分更高(p < .001),而对于全nba球员(p < .001),强交互效应表明全nba球员在主场表现最好。全明星球员的罚球命中率和罚球命中率也更高(p < 0.001)。效率、助攻和篮板在主场和nba全明星球员中更高,交互效应显示nba全明星球员在主场优于其他条件(均p < 0.001)。nba最佳球员在主场的失误更高(p < 0.001),而非nba最佳球员在客场的抢断更低。盖帽率最高的是主场球员,主场全明星球员居首(p < 0.001)。在客场比赛和非最佳球员中,个人犯规更高(p < 0.001)。我们得出的结论是,场地和球员级别都与更好的表现显著相关,主场比赛提供了明显的优势,在大多数指标上,nba最佳球员的表现都优于非nba最佳球员。实际应用包括优化恢复和旅行计划,以管理客场挑战,利用主场优势,以及定制策略,以最大限度地提高精英球员在不同环境中的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Perceptual and Motor Skills
Perceptual and Motor Skills PSYCHOLOGY, EXPERIMENTAL-
CiteScore
2.90
自引率
6.20%
发文量
110
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