OlimpIA

Olimp`IA`

Inteligencia Artificial al servicio del Análisis de Datos Deportivos

Grupo de investigación de la Facultad de Ciencias Físicas y Matemáticas de la Universidad de Chile

Presentaciones

                
                  Sports Analytics aplicado a Hockey sobre Hielo

Sebastián Ferrada, PhD.
                
Septiembre 2023
                 Game Points Importance Value (GPIV)
 Zonas de pases-gol
 Expected Threat (xT)

                  Sports Analytics aplicado al Voleibol
 
José Vera
                
Octubre 2023
                 Anotación por zonas
 Scores x fundamento
 Herramientas

                  Sports Analytics aplicado al Fútbol

Javier Bustos, PhD.
                
Noviembre 2023
                 Plus-Minus Score
 Markov chains
 PlayeRank

                  Charla FemPower 2024

Javier Bustos, PhD.
                
Diciembre 2024
                
Cómo evaluar la toma de decisiones en las futbolistas jóvenes:
 Si no se tienen datos de tracking
>
 Si sólo se tienen datos de eventos

Artículos

Revisiting PlayeRank

Louise Schmidt, Cristian Lillo, Javier Bustos

In this article we revise the football's performance score called PlayeRank, designed and evaluated by Pappalardo et al. in 2019. First, we analyze the weights extracted from the Linear Support Vector Machine (SVM) that solves the classification problem of "which set of events has a higher impact on the chances of winning a match". Here, we notice that the previously published results include the Goal-Scored event during the training phase, which produces inconsistencies. We fix these inconsistencies, and show new weights capable of solving the same problem. Following the intuition that the best team should always win a match, we define the team's quality as the average number of players involved in the game. We show that, using the original PlayeRank, in 94.13% of the matches either the superior team beats the inferior team or the teams end tied if the scores are similar. Finally, we present a way to use PlayeRank in an online fashion using modified free analysis tools. Calculating this modified version of PlayeRank, we performed an online analysis of a real football match every five minutes of game. Here, we evaluate the usefulness of that information with experts and managers, and conclude that the obtained data indeed provides useful information that was not previously available to the manager during the match.

Arxiv, 26 Oct 2024