External and internal load responses based on court size and opponent presence in elite-level basketball: An observational study with implications for training design

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; ω p ² = 0.15), moderate effect in high-intensity distance ( p < 0.01; ω p ² = 0.13), and small effect in all analyzed variables ( p < 0.01; ω p ² = 0.02–0.04), except total accelerations/decelerations with higher values in half-court conditions ( p < 0.01; ω p ² = 0.03). The presence of opponents significantly increased high-intensity impacts ( p < 0.01; ω p ² = 0.04), maximum accelerations/decelerations ( p < 0.01; ω p ² = 0.02), and internal load responses (HR MAX : p < 0.01, ω p ² = 0.05; > 90% HR MAX : p < 0.01, ω p ² = 0.08). Only higher values in without opponent condition were found in total distance ( p < 0.01; ω p ² = 0.02). Statistical analysis also revealed significant interactions between court size and opponent presence ( p < 0.01; ω p ² = 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.