Scholarlink

The transfer market is complex, with valuations shaped by performance, context, and biases. Effective team building requires recruits who complement the squad’s strengths and tactics. This study employs data-driven clustering and classification to identify attributes predictive of roles, yielding clear player profiles that support objective transfer decisions and provide actionable insights for strategic planning.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Player Position Classification with Fuzzy Clustering

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Tomasz Górecki,
  • Bartłomiej Grzelak,
  • Krzysztof Dyczkowski

摘要

The transfer market is complex, with valuations shaped by performance, context, and biases. Effective team building requires recruits who complement the squad’s strengths and tactics. This study employs data-driven clustering and classification to identify attributes predictive of roles, yielding clear player profiles that support objective transfer decisions and provide actionable insights for strategic planning.