Identification and Empirical Analysis of Key Influencing Factors on the Outcomes of Professional Football Matches

In the context of strengthening youth football training nationwide, promoting open and transparent selection of national football players, fostering a healthy football competition environment, advancing the modernization of coach education, improving the construction of the national football team, and comprehensively improving the level of national football, the factors influencing the outcome of football matches have been studied. This study provides scientific data analysis for team training, prompting coaches and players to further improve their personal and team tactical strategies, increase the team's winning rate, and analyze the factors that affect the outcome of football matches. Using key match data from the English Premier League in the DCD app multiple linear regression analysis was performed via SPSS to identify the 12 most critical factors affecting match results. Based on this, practical suggestions were proposed for teams to improve their winning probability from micro to macro levels, including players themselves, coaches, and the General Administration of Sport of China.

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Publication Details

Journal
Theoretical and Natural Science
Published
2025-10-02
DOI
https://doi.org/10.54254/2753-8818/2025.dl27516
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

Identification and Empirical Analysis of Key Influencing Factors on the Outcomes of Professional Football Matches

Jie Dong
Theoretical and Natural Science
Sports Analytics and Performance
article

Identification and Empirical Analysis of Key Influencing Factors on the Outcomes of Professional Football Matches

Jie Dong
article en

Abstract

In the context of strengthening youth football training nationwide, promoting open and transparent selection of national football players, fostering a healthy football competition environment, advancing the modernization of coach education, improving the construction of the national football team, and comprehensively improving the level of national football, the factors influencing the outcome of football matches have been studied. This study provides scientific data analysis for team training, prompting coaches and players to further improve their personal and team tactical strategies, increase the team's winning rate, and analyze the factors that affect the outcome of football matches. Using key match data from the English Premier League in the DCD app multiple linear regression analysis was performed via SPSS to identify the 12 most critical factors affecting match results. Based on this, practical suggestions were proposed for teams to improve their winning probability from micro to macro levels, including players themselves, coaches, and the General Administration of Sport of China.

Theoretical and Natural ScienceVol. 132(1)
Anhui Normal University (CN)
Openalex Percentile: Top 64%
Sports Analytics and Performance
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