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Streaks and Coping: Decoding Player Performance in League of Legends Using Big Data from Top Play...

Talkat CHI PLAY 2024 · 2024-10-14..10-17· [data-visualization]
name:Dion Deng
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name:Yin Zhang
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Analysis of 597,680 matches from top Korean League of Legends players collected via RIOS Games API shows only tiny but significant effects: winning streaks correlate with marginal KDA gains, losing streaks with marginal drops, so streaks do not drive large performance swings. Players who stick to the same champion and lane during streaks perform consistently better, while losses prompt more switching. Players take longer breaks after streaks, and breaks slightly improve performance after losses but not after wins, with plans to test psychological effects next.

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