[11] [11] PERL J. PerPot-a meta-model and software tool for analysis and optimisation of load-performance-interaction[J]. International Journal of Performance Analysis in Sport, 2004, 4(2): 61-73.

[12] [12] ZDRAVEVSKI E, KULAKOV A. System for prediction of the winner in a sports game [C]// International Conference on ICT Innovations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009: 55-63.

[13] [13] YEUNG C C K, BUNKER R, FUJII K. A framework of inter-pretable match results prediction in football with FIFA ratings and team formation[J]. PLoS One, 2023, 18(4): e0284318.

[14] [14] GABRIO A. Bayesian hierarchical models for the prediction of volleyball results[J]. Journal of Applied Statistics, 2021, 48(2):301-321.

[15] [15] SILVA M, DA SILVA S. Regressive prediction is the best way to forecast sports outcomes: Evidence from Brazilian soccer[J]. Open Access Library Journal, 2019, 6(3): 1-7.

[16] [16] PRZEDNOWEK K, ISKRA J, LENIK J, et al. Prediction of the result in 400 m hurdle races in two years training cycle[J]. Life Science Journal, 2014, 11(11): 794-797.

[17] [17] MAREK P, EDIV B, OUPAL T. Modeling and prediction of ice hockey match results[J]. Journal of Quantitative Analysis in Sports, 2014, 10(3): 357-365.