BATTING ANALYTICS

Batting

Team offense rankings, the most dangerous lineups, and the top individual hitters in college baseball. Sorted by composite offensive score.

308 TEAMS UPDATED MARCH 2026
Batting Rankings Composite team offense scores and individual hitter leaderboards
Top 10 Individual Hitters Best hitters in D1 by OPS this season

Min 60 PA. Ranked by OPS. Stats from latest scrape.

All Team Batting Rankings 308 teams sorted by composite offensive score

Individual Hitter Stats All qualifying hitters sorted by OPS

How Batters Are Evaluated Methodology for team offense and individual hitter rankings
Team Offense Score

Teams are scored on a 0–100 composite scale that combines eight offensive metrics: OPS 25% · ISO 18% · OBP 15% · BB% 12% · BA 10% · K% (inverted) 8% · SB% 7% · HR/G 5%. Each component is normalized relative to the full D1 field so scores reflect true standing against all 308 teams, not just conference peers. A score of 80+ represents an elite offense; 50 is roughly average.

Individual Rankings

Individual hitters are ranked by OPS (on-base plus slugging), the gold-standard measure of offensive efficiency. A minimum of 60 plate appearances is required to qualify, filtering out small samples. Each player's card shows position, team, PA, AVG, OBP, SLG, and HR. The top 10 leaderboard highlights the most productive bats in college baseball regardless of conference or program size.

What The Numbers Mean

ISO (Isolated Power = SLG − AVG) measures pure extra-base power, stripping out singles. BB% measures plate discipline and patience — hitters who draw walks put pressure on pitchers and protect the lineup. K% is inverted, so contact hitters are rewarded. OPS is the gold-standard single-number efficiency metric because it captures both getting on base and hitting for power in equal measure.

Data Sources

All batting stats are pulled from the NCAA stats scrape, aggregated per team from individual player game logs. Team totals are computed by summing individual contributions across the roster. Stats are updated with each new scrape run — the “Updated April 2026” badge reflects the most recent data refresh. Minimum PA thresholds ensure individual leaderboards reflect meaningful samples.