Kenneth Marius R. Raval1, Jeffrey C. Pagaduan2

1University of the Philippines, College of Human Kinetics, Department of Physical Education, Quezon City, Philippines
2University of Tasmania, College of Medicine, School of Health Sciences, Hobart, Australia

Factors that Differentiate Winning and Losing in Men’s University Basketball

Monten. J. Sports Sci. Med. 2021, 10(2), 13-17 | DOI: 10.26773/mjssm.210902

Abstract

The objective of this study is to analyse the game-related statistics that differentiate winning and losing teams, according to the finale game scores in a men’s university basketball league. Samples were gathered from the archival data of the 2019–2020 regular season of the league. Sixteen game-related statistics were analysed: two- and three-point field-goals (both successful and unsuccessful), free-throws (both successful and unsuccessful), defensive and offensive rebounds, assists, steals, turnover, blocks, second-chance points, fast break points, fouls committed and received. The data were clustered into different game types based on the final outcome point differences: all games, balanced games (11 points and below) and unbalanced games (12 points and above). Discriminant function analysis was conducted to identify the performance indicators that classify winning and losing games. The results revealed that winning and losing in balanced games were discriminated by successful two-point field goals, unsuccessful two-point field goals, unsuccessful three-point field goals, successful free-throws, assists, steals, blocks, second-chance points, fast-break points, fouls committed, and fouls received. For unbalanced games, winning and losing were distinguished by successful two-point field goals, successful three-point field goals, successful free-throws, unsuccessful free-throws, defensive rebounds, blocks, fast-break points, and fouls received. In conclusion, offensive and defensive indices are critical to winning and losing in university-level basketball.

Keywords

sports performance, game-related statistics, notational analysis, males



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