Georgios Karamousalidis1, Panagiotis Foteinakis2, Athanasios Kourtis-Doulkeridis1
1Aristotle University of Thessaloniki, School of Physical Education & Sport Science, Thessaloniki, Greece
2Democritus University of Thrace, Department of Physical Education and Sport Science, Komotini, Greece
Turnover Dynamics in NCAA Division I Men’s Basketball: A Structural Analysis by Game Outcome, Player Position, and Offensive Phase
Sport Mont 2025, 23(3), Ahead of Print | DOI: 10.26773/smj.251001
Abstract
Effective management of ball possession and minimizing turnovers are widely acknowledged as critical deter- minants of performance in elite-level basketball. This study aimed to analyze turnovers in NCAA Division I men’s basketball games, focusing on their frequency and typology in relation to game outcome, player position, type of offensive play, game half, and timing of occurrence. A total of 951 turnovers were analyzed across 45 official NCAA Division I games, using SportScout v.3.2 for video coding software, and SPSS v.29 for statistical analysis. The most frequent type of turnovers was bad passes (41.4%), followed by ball-handling errors (28.3%) and offensive fouls (13.8%). Winning teams committed fewer turnovers overall (47.2%) compared to losing teams (52.8%), particu- larly in passing-related errors. Guards accounted for the highest proportion of total turnovers (52.6%), especially during set offense situations (81.8%). Pivots exhibited a higher frequency of offensive fouls. Despite variations in turnover type and frequency across playing positions and offensive contexts, logistic regression analysis indicat- ed that turnover frequency and type did not significantly predict game outcomes at the p<0.05 level. These find- ings suggest that while turnovers serve as a key performance indicator, they do not act in isolation. Instead, they are shaped by a complex interplay of tactical and situational variables within the game environment. Training should emphasize decision-making under high-pressure conditions, enhanced recognition of game patterns, and situational awareness to reduce turnover rates throughout elite-level competitions.
Keywords
basketball, turnover, result, player position, game half, timing
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References
Altman, D. (1991). Practical Statistics for Medical Research. Chapman & Hall, London, UK.
American Psychological Association, Ethics Committee. (1992). Ethical Principles of Psychologists and Code of Conduct. American Psychologist, 47(12), 1597–1611.
Bezerra, M. (2023). Performance analysis in elite basketball differentiating game outcome and gender. European Journal of Human Movement, 49.
Bismpos, M., & Karamousalidis, G. (2022). The use and efficacy of the offensive action of pick and roll in the Olympic Games of 2020. Journal of Physical Education and Sport (JPES), 22.
Cabarkapa, D., Deane, M. A., Fry, A. C., Jones, G. T., Cabarkapa, D. V., Philipp, N. M., & Yu, D. (2022). Game statistics that discriminate winning and losing at the NBA level of basketball competition. PLoS ONE, 17(8), e0273427.
Çene, E. (2018). What is the difference between a winning and a losing team: Insights from Euroleague basketball. International Journal of Performance Analysis in Sport, 18(1), 55–68.
Christmann, J., Akamphuber, M., Müllenbach, A. L., & Güllich, A. (2018). Crunch time in the NBA—The effectiveness of different play types in the endgame of close matches in professional basketball. International Journal of Sports Science & Coaching, 13(6), 1090–1099.
Ciampolini, V., Ibáñez, S. J., Nunes, E. L. G., Borgatto, A. F., & Nascimento, J. V. D. (2018). Factors associated with basketball field goals made in the 2014 NBA finals. Motriz Revista De Educação Física, 23(4).
Conte, D., Favero, T., Niederhausen, M., Capranica, L., & Tessitore, A. (2017). Determinants of the effectiveness of fast break actions in elite and sub-elite Italian men’s basketball games. Biology of Sport, 34(2), 177–183.
Courel-Ibáñez, J., McRobert, A. P., Toro, E. O., & Vélez, D. C. (2017). Collective behaviour in basketball: A systematic review. International Journal of Performance Analysis in Sport, 17(1–2), 44–64.
Csataljay, G., O’Donoghue, P., Hughes, M., & Dancs, H. (2009). Performance indicators that distinguish winning and losing teams in basketball. International Journal of Performance Analysis in Sport, 9(1), 60–66.
Evangelos, T., Alexandros, K., & Nikolaos, A. (2005). Analysis of fast breaks in basketball. International Journal of Performance Analysis in Sport, 5(2), 17–22.
Foteinakis, P. F., & Pavlidou, S. P. (2025). Game-related performance metrics differentiating winning and losing teams in the Basketball Champions League. Journal of Physical Education, 36(1), e-3647. https://doi.org/10.4025/jphyseduc.v36i1.3647
Foteinakis, P., Pavlidou, S., & Stavropoulos, N. (2024). Analysis of the effectiveness of different play types in the end of game possessions of close EuroLeague matches. Journal of Human Sport and Exercise, 19(2), 617-630.
Foteinakis, P., & Pavlidou, S. (2024). Positional Differences in the Efficacy of Critical End-of-Game Possessions in EuroLeague Basketball. Sport Mont, 22(2), 25-31.
Fotinakis, P., Karipidis, A., & Taxildaris, K. (2002). Factors characterizing the transition game in European basketball. Journal of Human Movement Studies, 42, 305-316.
Fylaktakidou, A., Tsamourtzis, E. G., & Zaggelidis, G. (2011). The turnovers analysis to the women's national league basketball games. Sport Science Review, XX(3-4), 69.
García, J., Ibáñez, S. J., De Santos, R. M., Leite, N., & Sampaio, J. (2013). Identifying basketball performance indicators in regular season and playoff games. Journal of Human Kinetics, 36(1), 161–168.
Gómez, M. Á., Lorenzo, A., Ortega, E., Sampaio, J., & Ibáñez, S. J. (2009). Game related statistics discriminating between starters and nonstarters players in Women’s National Basketball Association League (WNBA). Journal of Sports Science & Medicine, 8(2), 278–283.
Gryko, K., Mikołajec, K., Marszałek, J., Adamczyk, J. G., Molik, B., Waśkiewicz, Z., Nikolaidis, P., & Knechtle, B. (2020). How did basketball teams win EuroBasket 2015? A non-standard analysis of performance based on passes, dribbling and turnovers. International Journal of Performance Analysis in Sport, 20(3), 339–356.
Han, D., Hawkins, M., & Choi, H. (2020). Analysis of different types of turnovers between winning and losing performances in men’s NCAA basketball. Journal of the Korea Society of Computer and Information, 25(7), 135–142.
Ibáñez, S., Sampaio, J., Sáenz-López, P., Giménez, J., & Janeira, M. (2003). Games statistics discriminating the final outcome of Junior World Basketball Championship matches. Journal of Human Movement Studies, 45, 1–19.
Ibáñez, S. J., Sampaio, J., Feu, S., Lorenzo, A., Gómez, M. A., & Ortega, E. (2008). Basketball game-related statistics that discriminate between teams’ season-long success. European Journal of Sport Science, 8(6), 369–372.
Ibáñez, S. J., García, J., Feu, S., Lorenzo, A., & Sampaio, J. (2009). Effects of consecutive basketball games on the game-related statistics that discriminate winner and losing teams. Journal of Sports Sciences.
Jin,W., (2024). Psychology in competition. In Z. Kan (Ed.). The ECPH Encyclopedia of Psychology (pp.1202-1203). Springer.
Komić, J., Simović, S., Čaušević, D., Alexe, D. I., Wilk, M., Rani, B., & Alexe, C. I. (2024). The influence of game-related statistics on the final results in FIBA global and continental competitions. Applied Sciences, 14(12), 5357.
Kubatko, J., Oliver, D., Pelton, K., & Rosenbaum, D. (2007). A starting point for analyzing basketball statistics. Journal of Quantitative Analysis in Sports, 3(3).
Lorenzo, A., Gómez, M. Á., Ortega, E., Ibáñez, S. J., & Sampaio, J. (2010). Game related statistics which discriminate between winning and losing under-16 male basketball games. Journal of Sports Science & Medicine, 9(4), 664–668.
Mandić, R., Jakovljević, S., Erčulj, F., & Štrumbelj, E. (2019). Trends in NBA and Euroleague basketball: Analysis and comparison of statistical data from 2000 to2017. PLoSONE, 14(10).
Mancha-Triguero, D., García-Rubio, J., Calleja-González, J., & Ibáñez, S. J. (2019). Physical fitness in basketball players: a systematic review. The Journal of Sports Medicine and Physical Fitness, 59(9), 1513–1525.
Mikes, J. (1988). Percentage basketball: The percentage favor the team that can fastbreak the opponents and prevent them from doing the same. Scholastic Coach, 57(6), 82, 84.
Mikołajec, K., Banyś, D., Żurowska-Cegielska, J., Zawartka, M., & Gryko, K. (2021). How to win the Basketball Euroleague? Game performance determining sports results during 2003–2016 matches. Journal of Human Kinetics, 77, 287–296.
Navalta, J. W., & Stone, W. J. (2020). Ethical issues relating to scientific discovery in exercise science. International Journal of Exercise Science, 12(1), 1.
Robertson, P. S. (2020). Man & machine: Adaptive tools for the contemporary performance analyst. Journal of Sports Sciences, 38(18), 2118-2126.
Sampaio, J., & Janeira, M. (2003). Statistical analyses of basketball team performance: Understanding teams’ wins and losses according to a different index of ball possessions. International Journal of Performance Analysis in Sport, 3(1), 40–49.
Sampaio, J., Janeira, M., Ibáñez, S., & Lorenzo, A. (2006). Discriminant analysis of game‐related statistics between basketball guards, forwards and centres in three professional leagues. European Journal of Sport Science, 6(3), 173–178.
Sampaio, J., Drinkwater, E. J., & Leite, N. M. (2010). Effects of season period, team quality, and playing time on basketball players’ game‐related statistics. European Journal of Sport Science, 10(2), 141–149.
Sampaio, J., McGarry, T., Calleja-González, J., Sáez de Villarreal, E., & Ibáñez, S. J. (2015). Exploring game performance in the National Basketball Association using player tracking data. PLoS ONE, 10(7), e0132894.
Sansone, P., Tessitore, A., Lukonaitiene, I., Paulauskas, H., Tschan, H., & Conte, D. (2020). Technical-tactical profile, perceived exertion, mental demands and enjoyment of different tactical tasks and training regimes in basketball small-sided games. Biology of Sport, 37(1), 15–23.
Stamiris, F., Karamousalidis, G., & Stavropoulos, N. (2020). Inside game in Euroleague basketball. Journal of Physical Education and Sport, 20(6), 3222–3228.
Trninić, S., Dizdar, D., & Luksić, E. (2002). Differences between winning and defeated top quality basketball teams in final tournaments of European club championship. Kinesiology, 26(2), 521–531.
Zestcott, C. A., Dickens, J., Bracamonte, N., Stone, J., & Harrison, C. K. (2020). One and done: Examining the relationship between years of college basketball experience and career statistics in the National Basketball Association. Journal of Sport and Social Issues, 44(4), 299–315.