Evaluating Player’s Passing Ability based on Passing Network

Zhang Zhipei, Pan Bingyu

2021

Abstract

As one of the most basic techniques of modern football, passing not only involves coordination within the team and different passing routes but is also closely related to the opponent team and the situation of the game. How to evaluate players’ ability to pass in such a complex environment has been a popular issue in the field of sports performance. Based on social network analysis, this paper constructs passing network and calculates ten indicators such as degree centrality. Then, using classification algorithms –The Gradient Boosting Decision Tree where these ten indicators serve as features to train a model to predict the average goal of each player. After adjusting parameters, the accuracy of the model reaches 0.628 while the value of AUC is 0.709, which shows the prediction of the model is relatively high, and social network analysis is an effective way to evaluate players’ passing ability to some extent.

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Paper Citation


in Harvard Style

Zhipei Z. and Bingyu P. (2021). Evaluating Player’s Passing Ability based on Passing Network. In Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-539-5, pages 69-75. DOI: 10.5220/0010711400003059


in Bibtex Style

@conference{icsports21,
author={Zhang Zhipei and Pan Bingyu},
title={Evaluating Player’s Passing Ability based on Passing Network},
booktitle={Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2021},
pages={69-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010711400003059},
isbn={978-989-758-539-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Evaluating Player’s Passing Ability based on Passing Network
SN - 978-989-758-539-5
AU - Zhipei Z.
AU - Bingyu P.
PY - 2021
SP - 69
EP - 75
DO - 10.5220/0010711400003059