Discriminating Factors between Successful and Unsuccessful Teams: A Case Study in Elite Youth Olympic Basketball Games
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Koon Teck Koh
Archival data was gathered from the FIBA33 games during the 1st inaugural Youth Olympic Games held in Singapore. Data collected from 70 basketball games played by boys from 20 participating countries were gathered for analysis. Analysis of game-related statistics and FIBA33 final rankings differentiated successful from unsuccessful teams. Ninety-five percent of the cases were correctly classified using discriminant analysis and in the cross-validation (leave-one-out method) the correct re-classification was 75 percent. Data triangulated from interviews and field notes were used to determine key factors contributing to team’s success in the FIBA33 games. Results of the present study showed that players from the top 10 successful teams could be differentiated from those in the bottom 10 unsuccessful teams. The determining factors were taller, had better shooting percentages, played aggressively (i.e., recorded more team fouls and the ability to draw fouls on opponents during games). Coaches can use these results to improve player’s recruitment process, reinforce the importance of fundamental skills such as shooting, individual offensive and defensive concepts under different game situations during trainings.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- A Regression-Based Adjusted Plus-Minus Statistic for NHL Players
- Markov Analysis of APBA, a Baseball Simulation Game
- Sports Ranking with Nonuniform Weighting
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- Factor Analysis in Performance Diagnostic Data of Competitive Ski Jumpers and Nordic Combined Athletes
- Match Analysis of Elite Ice Sledge Hockey in Paralympics 2010
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- On Estimating the Ability of NBA Players
- The Quarterback Prediction Problem: Forecasting the Performance of College Quarterbacks Selected in the NFL Draft
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