I Built an Offline Match Analyst That Turns Event Data Into Evidence-Cited Tactics

说明与用途

MatchLens 是一款离线工具，可将足球比赛事件 CSV 数据转换为基于证据的战术报告，揭示 xG 对比、关键时刻和势头阶段等洞察。

问题

Football pundits often provide narrative explanations for match outcomes that lack data-backed evidence, leading to unsubstantiated claims.

结果

MatchLens transforms raw event CSVs into a concise, evidence‑cited tactical report, revealing insights such as the impact of a red card on xG and momentum, and correcting narrative misconceptions.

工作流

• Export match events and team info to CSV
• Run python -m matchlens analyze <events.csv> <teams.csv> <match description>
• Review the generated report and evidence citations
• Use insights to argue or inform coaching decisions

证据

MatchLens produces: xG comparison – who actually created what, not who scored

来源

Every insight carries evidence citations: the event rows and numbers it used. No vibes, no narrative hand‑waving.

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The red‑card finding is the one I care about: the tool splits the match at the dismissal and compares both halves on xG.

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