Statistical analysis of sports dynamics

Authors

Gerold Pedemonte National Institute of Physics, University of the Philippines Diliman
Gay Jane Perez National Institute of Physics, University of the Philippines Diliman
Donna April Teodoro National Institute of Physics, University of the Philippines Diliman
John Christopher Nadora National Institute of Physics, University of the Philippines Diliman

Abstract

The dynamics of sports is statistically investigated. We propose correlation as a measure of predictability. An agent-based model is used to simulate the dynamics resulting to highly predictable game results. Different model parameters are tuned to predict the behavior of the game. Results from numerical data exhibit a good degree of predictability because of the high average correlation and low standard deviation in the rankings. We also match the model predicted rankings to a real data ranking and obtained a good degree of predictability. The difference in the dynamics of the selected individual and team sport is observed from real data using the model.

Downloads

Issue

2008: Proceedings of the 26th Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP-2008-PB-23

Section

Poster Session B (Instrumentation, Environmental, and Theoretical Physics)

Published

2008-10-22

How to Cite

[1]

G Pedemonte, GJ Perez, DA Teodoro, and JC Nadora, Statistical analysis of sports dynamics, Proceedings of the Samahang Pisika ng Pilipinas 26, SPP-2008-PB-23 (2008). URL: https://proceedings.spp-online.org/article/view/SPP-2008-PB-23.