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Baseball · Glossary

What is Sabermetrics?

The empirical analysis of baseball statistics to evaluate player performance beyond traditional box score metrics.

Last updated: 3 October 2026

Reviewed by Jordan Morley, FA Level 2 Football Coach

Sabermetrics is the analytical study of baseball statistics, named after the Society for American Baseball Research (SABR). Key sabermetric metrics include OPS (on-base plus slugging), WAR (wins above replacement), FIP (fielding independent pitching), wOBA (weighted on-base average) and BABIP (batting average on balls in play). Popularised by Bill James in the 1970s-80s and mainstream after Michael Lewis’ Moneyball (2003), sabermetrics now underpins front office decision-making across every MLB franchise. The core principle: traditional stats (batting average, wins, RBIs) misattribute individual value; context-independent metrics are more predictive.

Key points
  • Empirical analysis beyond traditional stats
  • Named after SABR (Society for American Baseball Research)
  • OPS, WAR, FIP, wOBA are key metrics
  • Moneyball (2003) brought to mainstream attention

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In practice

Sabermetrics — the application of statistical analysis to baseball, popularized by Bill James and later mainstreamed by the 'Moneyball' era Oakland Athletics — fundamentally shifted how teams value players, prioritizing underlying statistical indicators of future performance (like on-base percentage) over traditional, more visible but less predictive stats (like batting average or RBIs) that had dominated scouting for most of the sport's history.

FAQ

What is sabermetrics?

The application of statistical analysis to evaluate baseball players and strategy, emphasizing metrics more predictive of future performance (like on-base percentage and advanced pitching stats) over traditional counting statistics.

Why did sabermetrics become influential in baseball?

Analysts showed that certain under-valued statistics (like on-base percentage) correlated more strongly with winning than traditionally prized stats, giving data-driven teams a genuine competitive and financial advantage in player evaluation.