1,073
Views
0
CrossRef citations to date
0
Altmetric
Article

Effects of collective tactical variables and predictors on the probability of scoring in elite netball

, , &
Pages 264-283 | Received 06 Dec 2022, Accepted 09 Jun 2023, Published online: 16 Jun 2023

References

  • Araújo, D., & Davids, K. (2016). Team synergies in sport: Theory and measures. Frontiers in Psychology, 7, 1449. https://doi.org/10.3389/fpsyg.2016.01449.
  • Araújo, D., Silva, P., & Davids, K. (2015). Capturing group tactical behaviors in expert team players. Taylor & Francis. (Vol. 217). https://doi.org/10.4324/9781315776675-19.
  • Bake, R., Chadwick, S., Parma, R., & Scarf, P. (2021). The binomial-match, outcome uncertainty, and the case of netball. Journal of the Operational Research Society, 72(5), 1–17. https://doi.org/10.1080/01605682.2021.1931496.
  • Barnabé, L., Volossovitch, A., Duarte, R., Ferreira, A. P., & Davids, K. (2016). Age-related effects of practice experience on collective behaviours of football players in small-sided games. Human Movement Science, 48, 74–81. https://doi.org/10.1016/j.humov.2016.04.007.
  • Bourbousson, J., Sève, C., & McGarry, T. (2010). Space–time coordination dynamics in basketball: Part 1. Intra-and inter-couplings among player dyads. Journal of Sports Sciences, 28(3), 339–347. https://doi.org/10.1080/02640410903503632.
  • Browne, P., Morgan, S., Bahnisch, J., & Robertson, S. (2019). Discovering patterns of play in netball with network motifs and association rules. International Journal of Computer Science in Sport, 18(1), 64–79. https://doi.org/10.2478/ijcss-2019-0004.
  • Castellano, J., Álvarez, D., Figueira, B., Coutinho, D., & Sampaio, J. (2013). Identifying the effects from the quality of opposition in a Football team positioning strategy. International Journal of Performance Analysis in Sport, 13(3), 822–832. https://doi.org/10.1080/24748668.2013.11868691.
  • Clemente, M. F., Couceiro, S. M., Martins, F. M., Mendes, R., & Figueiredo, A. J. (2013). Measuring collective behaviour in football teams: Inspecting the impact of each half of the match on ball possession. International Journal of Performance Analysis in Sport, 13(3), 678–689. https://doi.org/10.1080/24748668.2013.11868680.
  • Clemente, F. M., Sequeiros, J. B., Correia, A., Serra-Olivares, J., González-Víllora, S., Silva, F., & Martins, F. M. (2018). How dots behave in two different pitch sizes? Analysis of tactical behavior based on position data in two soccer field sizes. International Journal of Sports Science & Coaching, 14(51), 16–28. https://doi.org/10.5232/ricyde2018.05102.
  • Coombe, A., Millar, S.K., & Button, C. (2020). Understanding the tactical behaviour associated with turnovers in elite netball. The Journal of Sport and Exercise Science, 4(2), 72–83. https://doi.org/10.36905/jses.2020.02.02.
  • Coombe, A., Millar, S.K., Button, C., & Oldham, T. (2020). Defining tactical competency during turnovers in netball: Using the delphi method to capture expert coach knowledge. The Journal of Sport and Exercise Science, 4(1), 18–27. https://doi.org/10.36905/jses.2020.01.03.
  • Croft, H., Spencer, K., & Robertson, S. (2020). What tactical and technical comments do coaches make during netball matches? A content analysis in netball. International Journal of Performance Analysis in Sport, 21(1), 1–16. https://doi.org/10.1080/24748668.2020.1846112.
  • Croft, H., Willcox, B., & Lamb, P. (2018). Using performance data to identify styles of play in netball: An alternative to performance indicators. International Journal of Performance Analysis in Sport, 17(6), 1034–1043. https://doi.org/10.1080/24748668.2017.1419408.
  • Duarte, R., Araújo, D., Folgado, H., Esteves, P., Marques, P., & Davids, K. (2013). Capturing complex, non-linear team behaviours during competitive football performance. Journal of Systems Science and Complexity, 26(1), 62–72. https://doi.org/10.1007/s11424-013-2290-3.
  • Folgado, H., Duarte, R., Marques, P., Gonçalves, B., & Sampaio, J. (2018). Exploring how movement synchronization is related to match outcome in elite professional football. Science and Medicine in Football, 2(2), 101–107. https://doi.org/10.1080/24733938.2018.1431399.
  • Folgado, H., Lemmink, K. A. P. M., Frencken, W., & Sampaio, J. (2014). Length, width and centroid distance as measures of teams tactical performance in youth football. European Journal of Sport Science, 14(1), 487–492. https://doi.org/10.1080/17461391.2012.730060.
  • Fonseca, S., Milho, J., Passos, P., Araújo, D., & Davids, K. (2012). Approximate entropy normalized measures for analyzing social neurobiological systems. Journal of Motor Behavior, 44(3), 179–183. https://doi.org/10.1080/00222895.2012.668233.
  • Frencken, W., Lemmink, K., Delleman, N., & Visscher, C. (2011). Oscillations of centroid position and surface area of soccer teams in small-sided games. European Journal of Sport Science, 11(4), 215–223. https://doi.org/10.1080/17461391.2010.499967.
  • Frencken, W., Poel, H. D., Visscher, C., & Lemmink, K. (2012). Variability of inter-team distances associated with match events in elite-standard soccer. Journal of Sports Sciences, 30(12), 1207–1213. https://doi.org/10.1080/02640414.2012.703783.
  • Goes, F., Meerhoff, L., Bueno, M., Rodrigues, D., Moura, F., Brink, M., & Torres, R. (2020). Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review. European Journal of Sport Science, 21(4), 1–16. https://doi.org/10.1080/17461391.2020.1747552.
  • Gonçalves, B. V., Figueira, B. E., Maçãs, V., & Sampaio, J. (2014). Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. Journal of Sports Sciences, 32(2), 191–199. https://doi.org/10.1080/02640414.2013.816761.
  • Gonçalves, B., Folgado, H., Coutinho, D., Marcelino, R., Wong, D., Leite, N., & Sampaio, J. (2018). Changes in effective playing space when considering sub-Groups of 3 to 10 players in professional soccer matches. Journal of Human Kinetics, 62(1), 145–155. https://doi.org/10.1515/hukin-2017-0166.
  • Greenland, S. (2006). Bayesian perspectives for epidemiological research: I. Foundations and basic methods. International Journal of Epidemiology, 35(3), 765–775. https://doi.org/10.1093/ije/dyi312.
  • Hodder, R. W., Ball, K. A., & Serpiello, F. R. (2020). Criterion validity of catapult clearsky t6 local positioning system for measuring inter-Unit distance. Sensors, 20(13), 3693. https://doi.org/10.3390/s20133693.
  • Hopkins, W. G. (2019). A spreadsheet for bayesian posterior compatibility intervals and magnitude-Based decisions. Sportscience.
  • Hopkins, W. G. (2020). Magnitude-Based Decisions as Hypothesis Tests. Sportscience, 2021, 1–16. https://www.sportsci.org/2020/MBDtests.htm.
  • Hopkins, W., Marshall, S., Batterham, A., & Hanin, J. (2009). Progressive statistics for studies in sports medicine and exercise science. Medicine & Science in Sports & Exercise, 41(1), 3–12. https://doi.org/10.1249/MSS.0b013e31818cb278.
  • Leite, N., Leser, R., Gonçalves, B., Calleja-Gonzalez, J., Baca, A., & Sampaio, J. (2014). Effect of defensive pressure on movement behaviour during an under-18 basketball game. International Journal of Sports Medicine, 35(9), 743–748. https://doi.org/10.1055/s-0033-1363237.
  • Lord, F., Pyne, D. B., Welvaert, M., & Mara, J. K. (2020). Methods of performance analysis in team invasion sports: A systematic review. Journal of Sports Sciences, 38(20), 2338–2349. https://doi.org/10.1080/02640414.2020.1785185.
  • Low, B., Coutinho, D., Gonçalves, B., Rein, R., Memmert, D., & Sampaio, J. (2020). A systematic review of collective tactical behaviours in football using positional data. Sports Medicine, 50(2), 343–385. https://doi.org/10.1007/s40279-019-01194-7.
  • McLean, S., Hulme, A., Mooney, M., Read, G. J. M., Bedford, A., & Salmon, P. M. (2019). A Systems approach to performance analysis in women’s netball: Using work domain analysis to model elite netball performance. Frontiers in Psychology, 10, 201. https://doi.org/10.3389/fpsyg.2019.00201.
  • Memmert, D., Lemmink, K. A. P. M., & Sampaio, J. (2017). Current approaches to tactical performance analyses in soccer using position data. Sports Medicine, 47(1), 1–10. https://doi.org/10.1007/s40279-016-0562-5.
  • Moura, F. A., Martins, L. E. B., Anido, R. O., Ruffino, P. R. C., Barros, R. M. L., & Cunha, S. A. (2013). A spectral analysis of team dynamics and tactics in Brazilian football. Journal of Sports Sciences, 31(14), 1568–1577. https://doi.org/10.1080/02640414.2013.789920.
  • Ofoghi, B., Chenaghlou, M., Mooney, M., Dwyer, D. B., & Bruce, L. (2021). Team technical performance characteristics and their association with match outcome in elite netball. International Journal of Performance Analysis in Sport, 21(5), 1–13. https://doi.org/10.1080/24748668.2021.1938424.
  • Ofoghi, B., Zeleznikow, J., MacMahon, C., & Raab, M. (2013). Data mining in elite sports: A review and a framework. Measurement in Physical Education and Exercise Science, 17(3), 171–186. https://doi.org/10.1080/1091367X.2013.805137.
  • Olthof, S. B., Frencken, W. G., & Lemmink, K. A. (2015). The older, the wider: On-field tactical behavior of elite-standard youth soccer players in small-sided games. Human Movement Science, 41, 92–102. https://doi.org/10.1016/j.humov.2015.02.004.
  • Olthof, S. B., Frencken, W. G., & Lemmink, K. A. (2019). A match-Derived relative pitch area facilitates the tactical representativeness of small-Sided games for the official soccer match. Journal of Strength & Conditioning Research, 33(2), 523–530. https://doi.org/10.1519/JSC.0000000000002978.
  • Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: Future challenges and opportunities for sports science. Springerplus, 5(1), 1410. https://doi.org/10.1186/s40064-016-3108-2.
  • Sampaio, J., Gonçalves, B., Rentero, L., Abrantes, C., & Leite, N. (2014). Exploring how basketball players’ tactical performances can be affected by activity workload. Science & Sports, 29(4), e23–e30. https://doi.org/10.1016/j.scispo.2013.05.004.
  • Sampaio, J. E., Lago, C., Gonçalves, B., Maçãs, V. M., & Leite, N. (2014). Effects of pacing, status and unbalance in time motion variables, heart rate and tactical behaviour when playing 5-a-side football small-sided games. Journal of Science & Medicine in Sport, 17(2), 229–233. https://doi.org/10.1016/j.jsams.2013.04.005.
  • Santos, R., Duarte, R., Davids, K., & Teoldo, I. (2018). Interpersonal coordination in soccer: Interpreting literature to enhance the representativeness of task design, from dyads to teams. Frontiers in Psychology, 9, 2550. https://doi.org/10.3389/fpsyg.2018.02550.
  • Silva, P., Duarte, R., Sampaio, J., Aguiar, P., Davids, K., Araújo, D., & Garganta, J. (2014). Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football. Journal of Sports Sciences, 32(20), 1888–1896. https://doi.org/10.1080/02640414.2014.961950.
  • Silva, P., Travassos, B., Vilar, L., Aguiar, P., Davids, K., Araújo, D., Garganta, J., & Balasubramaniam, R. (2014). Numerical relations and skill level constrain Co-Adaptive behaviors of agents in sports teams. PloS One, 9(9), e107112. https://doi.org/10.1371/journal.pone.0107112.
  • Simpson, M. J., Jenkins, D. G., Scanlan, A. T., & Kelly, V. G. (2020). Relationships between external-and internal-workload variables in an elite netball team and between playing positions. International Journal of Sports Physiology and Performance, 1(6), 1–6. https://doi.org/10.1123/ijspp.2019-0619.
  • Smith, T. B., & Hopkins, W. G. (2011). Variability and predictability of finals times of elite rowers. Medicine & Science in Sports & Exercise, 43(11), 2155–2160. https://doi.org/10.1249/MSS.0b013e31821d3f8e.
  • Vilar, L., Araújo, D., Davids, K., & Bar-Yam, Y. (2013). Science of winning soccer: Emergent pattern-forming dynamics in association football. Journal of Systems Science and Complexity, 26(1), 73–84. https://doi.org/10.1007/s11424-013-2286-z.
  • Whitehead, S., Weakley, J., Cormack, S., Alfano, H., Kerss, J., Mooney, M., & Jones, B. (2021). The applied sports science and medicine of netball: A systematic scoping review. Sports Medicine, 51(8), 1–17. https://doi.org/10.1007/s40279-021-01461-6.