This study aimed to (i) compare the extent of home-court advantage (HA) and home win percentage (HW) between Spanish basketball leagues across different playing levels (i.e., leagues) and (ii) analyze the influence of team ability on HA and HW within each playing level. We gathered data for game locations and results from open online sources for all games in the First Division (ACB), Second Division (LEB Gold), and Third Division (LEB Silver) Spanish male basketball leagues between 2010-2023. The dataset included 12 seasons, 635 teams (215 First Division, 203, Second Division, and 217 Third Division), and 19,539 games (7075 First Division, 6344 Second Division, and 5520 Third Division). We calculated HA [(total home wins/total wins) * 100] and HW [(total home wins/total home games) * 100] for each team across each season. We performed Kruskal Wallis tests, calculated partial eta squared (ηp2), and performed Mann-Whitney U tests with rank biserial correlation (rb) effect sizes and Dwass-Steel-Critchlow-Fligner pairwise comparisons to compare HA and HW between leagues and between team abilities (low, medium, and/or high) within each league. There was a significant effect for HA between leagues (p = .01) with post hoc comparisons revealing a higher HA for the First Division than for the Third Division (p = .01), but HW was not significantly different between leagues. In turn, variations in HA and HW between team abilities were consistent across playing levels, with HW significantly increasing in a progressive manner with higher team abilities (p < .001) and with HA significantly lower among high-level teams compared to lower-ability team clusters (p < .01). These findings emphasize the importance of considering playing level and team ability and interpreting HA and HW together to contextualize an apparent home advantage in Spanish basketball.
This study aimed to (i) compare the extent of home-court advantage (HA) and home win percentage (HW) between Spanish basketball leagues across different playing levels (i.e., leagues) and (ii) analyze the influence of team ability on HA and HW within each playing level. We gathered data for game locations and results from open online sources for all games in the First Division (ACB), Second Division (LEB Gold), and Third Division (LEB Silver) Spanish male basketball leagues between 2010-2023. The dataset included 12 seasons, 635 teams (215 First Division, 203, Second Division, and 217 Third Division), and 19,539 games (7075 First Division, 6344 Second Division, and 5520 Third Division). We calculated HA [(total home wins/total wins) * 100] and HW [(total home wins/total home games) * 100] for each team across each season. We performed Kruskal Wallis tests, calculated partial eta squared (ηp2), and performed Mann-Whitney U tests with rank biserial correlation (rb) effect sizes and Dwass-Steel-Critchlow-Fligner pairwise comparisons to compare HA and HW between leagues and between team abilities (low, medium, and/or high) within each league. There was a significant effect for HA between leagues (p = .01) with post hoc comparisons revealing a higher HA for the First Division than for the Third Division (p = .01), but HW was not significantly different between leagues. In turn, variations in HA and HW between team abilities were consistent across playing levels, with HW significantly increasing in a progressive manner with higher team abilities (p < .001) and with HA significantly lower among high-level teams compared to lower-ability team clusters (p < .01). These findings emphasize the importance of considering playing level and team ability and interpreting HA and HW together to contextualize an apparent home advantage in Spanish basketball. Read More
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