Finding MLB Player Types with K-Means Clustering

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oliverc1622 · 17h ago

I used k-means clustering on MLB player percentile rankings to find data-driven player archetypes. The goal was to move beyond simple labels like "power hitter" and see what patterns the data revealed on its own. The algorithm found six distinct groups, including an 'Elite All-Around', a 'Contact & Speed' group, and a 'Three-True-Outcome' type. I wrote about the process here.

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Finding MLB Player Types with K-Means Clustering

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