4.7 Article

Influence of Match Congestion on Performances in the National Basketball Association

Journal

FRONTIERS IN PSYCHOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyg.2021.630769

Keywords

match schedule; performance analysis; elite sport; regression analysis; national basketball association

Funding

  1. Fundamental Research Funds for the Central Universities (Hohai University) [B200202204]

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This study examined match performances under different match congestion cycles and identified key performance indicators (KPIs) that differentiate between winning and losing teams. Factors such as scoring, shooting efficiency, and defensive rebounds played significant roles in determining match outcomes, alongside opponent quality and match pace.
The ability to recover from official match-play across a single and multiple matches is often considered a key factor in subsequent performance for modern professional basketball. The aims of this study were to: (i) explore the differences in match performances between different match congestion cycles (i.e., matches separated by zero, one, or two or greater days of rest); and (ii) identify the key performance indicators (KPIs) discriminating between winning and losing during different match congestion cycles. The current study indicated that scoring close to (i.e., within the paint) (ES = 0.08) or very far away (i.e., Three-point, ES = 0.05) was significantly greater for winning matches separated by 1- and 2-days of rest compared to consecutive matches (i.e., 0 rest days between matches). Additionally, shooting efficiency (P < 0.001), and attaining Defensive Rebounds (P < 0.001) and Steals (P < 0.001), were significant offensive and defensive KPIs that differentiated winning and losing teams. Similarly, opponent quality and match pace were important situational variables that affected match outcome during different match congestion cycles. While match location had an impact on winning following 1- and 2-days of rest, it had no impact for back-to-back matches (i.e., 0 days between matches). The current results will support coaches' offensive, defensive and recovery strategies during various match congestion cycles for a greater probability of winning NBA matches.

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