The Analysis of Offensive Tempo Coefficient of Variation in Basketball ─ A Case Study of 2012 NBA Playoffs

碩士 === 國立東華大學 === 體育與運動科學系 === 102 === The purpose of this study was to explore factors affecting offensive tempo in basketball games and how offensive tempo is related to field goal percentage and game result. Sample comprised 84 playoffs between 16 teams of National Basketball Association (NBA) du...

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Bibliographic Details
Main Authors: Chieh Ke, 柯杰
Other Authors: Ju-Han Lin
Format: Others
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/2fa5dn
Description
Summary:碩士 === 國立東華大學 === 體育與運動科學系 === 102 === The purpose of this study was to explore factors affecting offensive tempo in basketball games and how offensive tempo is related to field goal percentage and game result. Sample comprised 84 playoffs between 16 teams of National Basketball Association (NBA) during 2012. Data were analyzed using methods including independent sample t-test, one-way ANOVA, and chi-square test with α coefficient set at .05. Results showed that the difference in offensive time was significant between score leads and lags (t=3.711, p<.05) but not between periods of play (F=1.024, p<.05); attaching time varied significantly by transition methods (t=-35.271, p<.05); quick offensive tempo were not related to game results but usually resulted in a higher field goal percentage (χ²=.99, p<.05、χ²=10.889, p<.05); moderate offensive tempo usually resulted in a higher rate of losses and a lower field goal percentage (χ²=9.959, p<.05、χ²=5.752, p<.05); slow offensive tempo led to wins but a lower field goal percentage (χ²=9.633, p<.05、χ²=47.642, p<.05). In further comparison, the data of fast offensive tempo and slow offensive tempo were combined for comparison with data of moderate offensive tempo. Results showed that the difference in offensive field goal percentage between the two groups was not significant (χ²=.590, p<.05). As to game results, the group with more discrete offensive time had a higher rate of wins (χ²=17.915, p<.05). Overall, score leads/lags and transition methods would affect offensive time, and offensive time was a factor affecting field goal percentage and game results.