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August 26, 2025Science and Technology of Engineering Chemistry and Environmental Protection0 citationsOpen Access

The Value of Players in the Top Five Football Leagues for the 24-25 Season Based on Multiple Factors

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XFXiang Fang

Key Points

  • Players aged 20-28 command higher transfer values, while those over 30 see a decline.
  • The Premier League values players approximately 40-60% higher than other leagues in the top five.
  • Analysis utilizes XGBoost regression on a Kaggle dataset for player performance in the 2024-25 season.
  • Market valuation highlights the shift towards offensive attributes, diminishing the role of traditional defensive metrics.

Abstract

The top five football leagues, as one of the most high-profile sporting events, entail enormous commercial value, making player valuation in these leagues a focal point. Analyzing the influencing factors of transfer values helps clubs formulate strategies and promotes the development of the football market. This study leverages descriptive statistics and the XGBoost regression model, analyzing a Kaggle dataset of 2024-25 season player performance. Key findings show 20-28-year-olds command higher transfer values, with a general decline after 30. The Premier League leads in player valuation, with other leagues 40-60% lower. Attacking positions far outpace defensive roles in market price. The eXtreme Gradient Boosting (XGBoost) weight analysis for four positions—forwards, midfielders, defenders, and goalkeepers—reveals that offensive-type data tailored to each position (such as scoring opportunities created for forwards, average carrying distance for defenders, etc.) are critical determinants of player transfer values. Specifically, defensive players now require offensive integration to achieve high valuation, with key factors including forward ball carries and long-pass organization. Traditional defensive metrics have lost weight in valuation models, while offensive attributes have emerged as primary value drivers.

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Cite This Study

Xiang Fang (2025) studied this question.

synapsesocial.com/papers/68af63e9ad7bf08b1eae46c2https://doi.org/10.61173/p15km722
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Examining the Factors That Influence Players’ Transfer Fees in English Premier League2025
  2. 2Analysis of the market value of Premier League attacker2024
  3. 3Developing A Predictive Model for Football Players’ Market Value Using Machine Learning2025
  4. 4TRANSFER MARKET IN FOOTBALL: ANALYZING THE TOP 100 MOST EXPENSIVE PLAYERS2024 · 1 citations
  5. 5Identifying Undervalued Football Players Using Performance Metrics and Salary Data2026