References
- Bar-Eli, M., Avugos, S., & Raab, M. (2006). Twenty years of “hot hand” research: Review and critique. Psychology of Sport and Exercise, 7(6), 525–553. https://doi.org/10.1016/j.psychsport.2006.03.001
- 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. https://doi.org/10.1080/24748668.2018.1446234.
- Conte, D., Tessitore, A., Gjullin, A., Mackinnon, D., Lupo, C., & Favero, T. (2018). Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games. Biology of Sport, 35(2), 137–143. https://doi.org/10.5114/biolsport.2018.71602
- 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. https://doi.org/10.1080/24748668.2009.11868464
- Cullinane, A., & O’Donoghue, P. (2011, May). Addressing opposition quality in rugby league performance [Poster presentation]. World Congress of Science and Football, Nagoya, Japan.
- Gómez, M. A., Gasperi, L., & Lupo, C. (2016). Performance analysis of game dynamics during the 4th game quarter of NBA close games. International Journal of Performance Analysis in Sport, 16(1), 249–263. https://doi.org/10.1080/24748668.2016.11868884
- Gómez, M. A., Lorenzo, A., Jiménez, S., Navarro, R. M., & Sampaio, J. (2015). Examining choking in basketball: Effects of game outcome and situational variables during last 5 minutes and overtimes. Perceptual and Motor Skills, 120(1), 111–124. https://doi.org/10.2466/25.29.PMS.120v11x0
- Gómez, M. A., Lorenzo, A., Sampaio, J., Ibanez, S. J., & Ortega, E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men’s professional basketball teams. Collegium Antropologicum, 32(2), 451–456. http://oa.upm.es/2530/
- Hook, C., & Hughes, M. (2001). Patterns of play leading to shots in “Euro 2000”. In M. D. Hughes & I. Franks (Eds.), Performance analysis of sport V (pp. 295–302). UWIC.
- Hughes, M., & Bartlett, R. (2004). The use of performance indicators in performance analysis. In M. Hughes & M. Franks (Eds.), Notational analysis of sport, 2nd edition: Systems for better coaching and performance in sport (pp. 166–188). Routledge.
- Hughes, M., & Churchill, S. (2005). Attacking profiles of successful and unsuccessful teams in Copa America 2001. In T. Reilly, J. Cabri, & D. Araujo (Eds.), Science and football V (pp. 219–224). Routledge.
- 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. https://doi.org/10.1080/17461390802261470
- Ibáñez, S. J., Sampaio, J., Saenz-Lopez, P., Gimenez, J., & Janeira, M. A. (2003). Game statistics discriminating the final outcome of Junior World Basketball Championship matches (Portugal 1999). Journal of Human Movement Studies, 45(1), 1–19.
- James, N., Mellalieu, S., & Jones, N. (2005). The development of position-specific performance indicators in professional rugby union. Journal of Sports Sciences, 23(1), 63–72. https://doi.org/10.1080/02640410410001730106
- Kozar, B., Vaughn, R. E., Whitfield, K. E., Lord, R. H., & Dye, B. (1994). Importance of free-throws at various stages of basketball games. Perceptual and Motor Skills, 78(1), 243–248. https://doi.org/10.2466/pms.1994.78.1.243
- Leicht, A., Gomez, M., & Woods, C. (2017a). Explaining match outcome during the men’s basketball tournament at the Olympic Games. Journal of Sports Science & Medicine, 16(4), 468–473.
- Lupo, C., & Tessitore, A. (2016). How important is the final outcome to interpret match analysis data: The influence of scoring a goal, and difference between close and balance games in Elite Soccer: Comment on Lago-Penas and Gomez-Lopez (2014). Perceptual and Motor Skills, 122(1), 280–285. https://doi.org/10.1177/0031512515626629
- McGarry, T., & Franks, I. M. (1994). A stochastic approach to predicting competition squash match-play. Journal of Sports Sciences, 12(6), 573–584. https://doi.org/10.1080/02640419408732208
- Nevill, A., & Holder, R. (1999). Home advantage in sport: An overview of studies on the advantage of playing at home. Sports Medicine, 28(4), 221–236. https://doi.org/10.2165/00007256-199928040-00001
- O’Donoghue, P. (2005). Normative profiles of sports performance. International Journal of Performance Analysis in Sport, 5(1), 104–119. https://doi.org/10.1080/24748668.2005.11868319
- O’Donoghue, P., Mayes, A., & Garland, J. (2008). Performance norms for British National Super League netball. International Journal of Sports Science & Coaching, 3(4), 501–511.
- O’Donoghue, P. (2009). Interacting performances theory. International Journal of Performance Analysis in Sport, 9(1), 26–46. https://doi.org/10.1080/24748668.2009.11868462
- O’Donoghue, P. (2012). Statistics for sport and exercise science: An introduction. Routledge.
- O’Donoghue, P., & Cullinane, A. (2011). A regression-based approach to interpreting sports performance. International Journal of Performance Analysis in Sport, 11(2), 295–307. https://doi.org/10.1080/24748668.2011.11868549
- Oliver, D. (2004). Basketball on paper: Rules and tools for performance analysis. Brassey’s Inc.
- Puente, C., Coso, J. D., & Salinero, J. J. (2015). Basketball performance indicators during the ACB regular season from 2003 to 2013. International Journal of Performance Analysis in Sport, 15(3), 935–948. https://doi.org/10.1080/24748668.2015.11868842
- 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. https://doi.org/10.1080/17461390903311935
- Sampaio, J., Godoy, S. I., & Feu, S. (2004). Discriminative power of basketball game-related statistics by level of competition and sex. Perceptual and Motor Skills, 99(3suppl), 1231–1238. https://doi.org/10.2466/PMS.99.7.1231-1238
- 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. https://doi.org/10.1080/24748668.2003.11868273
- Teramoto, M., & Cross, C. L. (2010). Relative importance of performance factors in winning NBA games in regular season versus playoffs. Journal of Quantitative Analysis in Sports, 6(3), 1–19. https://doi.org/10.2202/1559-0410.1260
- Trninic, S., Dizdar, D., & Luksic, E. (2002). Differences between winning and defeated top quality basketball teams in final tournaments of European Club Championship. Colleguim Antropollogicum, 26(2), 521–531.
- Zhang, S., Lorenzo, A., Changjing., Z., Cui, Y., Gon Ç Alves, B., & Gómez, M.-A. (2019). Performance profiles and opposition interaction during game play in elite basketball: Evidences from National Basketball Association. International Journal of Performance Analysis in Sport, 19(1), 28–48. https://doi.org/10.1080/24748668.2018.1555738
- Zhang, S., Lorenzo, A., Gómez, M.-A., Liu, H., Gon Ç Alves, B., & Sampaio, J. (2017). Players’ technical and physical performance profiles and game-to-game variation in NBA. International Journal of Performance Analysis in Sport, 17(4), 466–483. https://doi.org/10.1080/24748668.2017.1352432
- Zhang, S., Lorenzo, A., Gómez, M.-A., Mateus, N., Gon Ç Alves, B., & Sampaio, J. (2018a). Performance profiles of basketball players in NBA according to anthropometric attributes and playing experience. In Complex systems in sport, international congress linking theory and practice (pp. 185–188). Frontiers abstract book.
- Zhang, S., Lorenzo, A., Gómez, M.-A., Mateus, N., Gon Ç Alves, B., & Sampaio, J. (2018b). Clustering performances in the NBA according to players’ anthropometric attributes and playing experience. Journal of Sports Sciences, 36(22), 2511–2520. https://doi.org/10.1080/02640414.2018.1466493