https://chunghaolee.com/tags/baseball/Recent content in Baseball on Chung-Hao LeeHugoenFri, 10 Jul 2026 00:00:00 +0800https://chunghaolee.com/portfolio/outs_per_effort/Fri, 10 Jul 2026 00:00:00 +0800https://chunghaolee.com/portfolio/outs_per_effort/<p><em>By Chung-Hao Lee</em> <em>Data: MLB Stats API, 2023–2025 (≈1,000 pitcher-seasons, IP ≥ 50) · <a href="https://github.com/lch99310/Outs-Per-Effort" target="_blank" rel="noreferrer">GitHub Repo →</a> · <a href="https://github.com/lch99310/Outs-Per-Effort/blob/main/README.cn.md" target="_blank" rel="noreferrer">中文版 →</a></em></p> <hr> <p><em>Baseball has been my long-running lens for learning data — from a <a href="https://chunghaolee.com/portfolio/baseball-informaticsfrom-milb-to-mlb-debut/" target="_blank" rel="noreferrer">2023 paper on predicting MiLB-to-MLB debuts</a>, to a daily <a href="../daily_underestimated_mlbplayers_ranking/">underestimated-player web app</a>, and now to this. This piece introduces an original stat I&rsquo;ve been building on the side, born from a simple Moneyball-shaped question: if the scarcest thing in baseball is an out, why don&rsquo;t we grade pitchers by how efficiently they buy them?</em></p>