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Authors: Zhang Zhipei and Pan Bingyu

Affiliation: School of Sports Engineering, Beijing Sport University, Xinxi Road no.48, HaiDian District, Beijing, China

Keyword(s): Soccer, Passing Network, Players’ Value, Machine Learning.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - icSPORTS; ISBN 978-989-758-539-5; ISSN 2184-3201, SciTePress, pages 69-75. DOI: 10.5220/0010711400003059

@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 - icSPORTS},
year={2021},
pages={69-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010711400003059},
isbn={978-989-758-539-5},
issn={2184-3201},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - icSPORTS
TI - Evaluating Player’s Passing Ability based on Passing Network
SN - 978-989-758-539-5
IS - 2184-3201
AU - Zhipei, Z.
AU - Bingyu, P.
PY - 2021
SP - 69
EP - 75
DO - 10.5220/0010711400003059
PB - SciTePress

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