Abstract
Basketball training design requires systematic manipulation of task constraints to optimize performance adaptations. This study investigated how court size and opponent presence influence external and internal load responses in professional basketball players. Fifteen players from a top-tier Spanish league team were monitored during eighteen training sessions using ultra-wideband tracking, inertial sensors, and heart rate telemetry. Linear mixed model adjusted for players as random factor with Bonferroni post-hoc was performed. Based on court size, full-court conditions demonstrated higher values with large effect in total distance (p < 0.01; ωp² = 0.15), moderate effect in high-intensity distance (p < 0.01; ωp² = 0.13), and small effect in all analyzed variables (p < 0.01; ωp² = 0.02–0.04), except total accelerations/decelerations with higher values in half-court conditions (p < 0.01; ωp² = 0.03). The presence of opponents significantly increased high-intensity impacts (p < 0.01; ωp² = 0.04), maximum accelerations/decelerations (p < 0.01; ωp² = 0.02), and internal load responses (HRMAX: p < 0.01, ωp² = 0.05; > 90% HRMAX: p < 0.01, ωp² = 0.08). Only higher values in without opponent condition were found in total distance (p < 0.01; ωp² = 0.02). Statistical analysis also revealed significant interactions between court size and opponent presence (p < 0.01; ωp² = 0.01–0.05). These findings provide crucial insights for coaches and practitioners, demonstrating the importance of systematically manipulating court dimensions and opponent presence for managing internal and external workload throughout the season.
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