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Performance analysis of game dynamics during the 4 game quarter of NBA close games

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  • Miguel Angel Gomez
  • Lorenzo Gasperi
  • Corrado Lupo

Abstract

The purpose of the present study was to identify which situational variables and technical-tactical variables allow to discriminate home and away teams during the fourth quarters of close NBA basketball games according to the scoring trends. The sample comprised 48 men’s NBA close games (below 10 points of difference) during the 2013-14 regular season. The situational variables (starting quarter score, game location, and quality of opposition) and technical-tactical variables (game situation, defense type, outcome, shot type, technical execution, defense on the shooter, play events and mean played clock-time) were studied. The main results showed that the variables that best differentiated home and away teams were: i) starting quarter score, free-throws scored, 3-point field-goals from central positions, and defensive fouls during balanced scoring trends between teams; ii) game location, quality of opposition, ball possession success, 2-point field-goals inside and outside the central positions, 3-point field-goals from central and right court positions, and defensive rebounds during home teams’ positive scoring trends; and iii) starting quarter score, game location, quality of opposition, ball possession success, alley-hop, the stop-shot, the 1 defense on the shooter, the 2 or >2 defense on the shooter and block 1 in defense during away teams’ positive scoring trends. The identified trends allow improving the game understanding during last stages of close games and help the coaches to plan practice sessions and deciding better in competition.

Suggested Citation

  • Miguel Angel Gomez & Lorenzo Gasperi & Corrado Lupo, 2016. "Performance analysis of game dynamics during the 4 game quarter of NBA close games," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 16(1), pages 249-263, April.
  • Handle: RePEc:taf:rpanxx:v:16:y:2016:i:1:p:249-263
    DOI: 10.1080/24748668.2016.11868884
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    Cited by:

    1. Jeon, Gyuhyeon & Park, Juyong, 2021. "Characterizing patterns of scoring and ties in competitive sports," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    2. Shaoliang Zhang & Miguel Ángel Gomez & Qing Yi & Rui Dong & Anthony Leicht & Alberto Lorenzo, 2020. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    3. Zsombor Zilinyi & Ágoston Nagy & Szilvia Borbély & Tamás Sterbenz, 2022. "Bounded Rationality and Heuristics: Do We Only Need to Score in Order to Win Individual Awards in Basketball?," IJERPH, MDPI, vol. 19(4), pages 1-9, February.

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