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How does sabermetrics evaluate baseball players differently from traditional statistics?

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Green retro manual baseball scoreboard beyond an empty, neatly mowed baseball field with brown infield dirt and striped grass outfield. — Sabermetrics A scoreboard provides some – but not necessarily the most useful – data on player and team performances in baseball.

Sabermetrics evaluates baseball players by prioritizing objective, data-driven measurements over traditional statistics, which are often viewed as less accurate approximations of a player's true efficacy. While traditional metrics like batting average or runs batted in have long been used to assess performance, sabermetrics posits that these measures are of limited use in predicting a player's actual ability to help a team win games.123

Instead of relying on conventional box score data alone, sabermetricians manipulate raw information—such as hits, runs, outs, and errors—to uncover deeper insights. Key differences in this approach include:3

Focus on Objective Knowledge: Sabermetrics seeks to quantify performance through empirical relationships, such as the "Pythagorean winning percentage," which derives a team's expected success based on run differential rather than just win-loss records.14
Advanced Metrics: Analysts use tools like "runs created" to measure a hitter's total offensive contribution or "Defense Independent Pitching Statistics" (DIPS) to isolate a pitcher's performance from the influence of luck and defensive support.4
Holistic Evaluation: Methods like "Wins Above Replacement" (WAR) aim to summarize a player's total value—including hitting, fielding, and pitching—into a single metric compared to a theoretical replacement-level player.4

Ultimately, sabermetrics treats baseball as a subject for rigorous mathematical study to better understand the game's underlying mechanics.14