BABIP (Batting Average on Balls in Play) measures how often a batted ball that stays in the field of play results in a hit. It excludes home runs (which fly over the fence) and strikeouts (where the ball is never put in play). For hitters, BABIP reflects a combination of skill (bat speed, exit velocity, sprint speed) and luck (fielder positioning, defensive quality). For pitchers, BABIP on balls in play against them indicates how much the defense and randomness affected their results.

Formula

BABIP = (H − HR) ÷ (AB − SO − HR + SF)

A batter with 150 hits, 30 home runs, 100 strikeouts, 5 sacrifice flies, and 500 at-bats has: BABIP = (150 − 30) ÷ (500 − 100 − 30 + 5) = 120 ÷ 375 = .320.

Benchmarks

Level BABIP
High (likely lucky) > .340
Above Average .310–.340
League Average .285–.310
Below Average .260–.285
Low (likely unlucky) < .260

ALL-TIME CAREER BABIP LEADERS

Rank Player BABIP
1 Ty Cobb 0.383
2 Shoeless Joe Jackson 0.366
3 Rogers Hornsby 0.365
4 Billy Hamilton 0.361
5 Jesse Burkett 0.359
6 Rod Carew 0.359
7 Ed Delahanty 0.358
8 Austin Jackson 0.355
9 Pete Browning 0.353
10 Mike Donlin 0.353

View full career BABIP leaderboard →

BEST SINGLE-SEASON BABIP IN MLB HISTORY

Rank Player Year Team BABIP
1 Ty Cobb 1911 DET 0.444
2 Ross Barnes 1876 CHC 0.438
3 Tip O'Neill 1887 SL4 0.437
4 Hugh Duffy 1894 BSN 0.433
5 Shoeless Joe Jackson 1911 CLE 0.433
6 Tuck Turner 1894 PHI 0.432
7 Ross Barnes 1873 BS1 0.430
8 Pete Browning 1887 LS2 0.429
9 Willie Keeler 1897 BLN 0.428
10 Jesse Burkett 1895 CL4 0.425

View full single-season BABIP leaderboard →

HISTORICAL CONTEXT

BABIP was developed and popularized by Voros McCracken around 2001, when he published research showing that pitchers had very little year-to-year consistency in the rate at which balls in play against them fell for hits. This was a landmark finding — it suggested that what looked like pitching skill in suppressing hits on contact was largely random, and that strikeouts, walks, and home runs were the outcomes pitchers truly controlled.

McCracken's work led directly to the development of FIP (Fielding Independent Pitching), which focuses only on the outcomes pitchers control. BABIP for pitchers became understood as a "luck indicator" — a pitcher with a .250 BABIP against in one year and a .320 BABIP the next likely performed similarly in terms of true skill, with the difference driven by defense and batted ball luck.

For hitters, BABIP is more skill-dependent than for pitchers. Speedy contact hitters like Ichiro Suzuki consistently posted BABIP marks above .330 because their foot speed turned grounders into infield hits. Power-oriented sluggers with low exit velocities on contact tend to post lower BABIPs. This means evaluating a hitter's BABIP requires comparing it to their career norms, not just the league average.

Modern Statcast data has enriched the BABIP conversation by introducing xBABIP (expected BABIP based on exit velocity, launch angle, and sprint speed), which separates skill from luck more precisely than historical BABIP alone. Nonetheless, traditional BABIP remains widely used as a first-pass signal for whether a player's results likely reflect their true talent level.

FREQUENTLY ASKED QUESTIONS

What is BABIP in baseball?

BABIP (Batting Average on Balls in Play) measures how often a batted ball that stays in the field of play results in a hit. It excludes home runs (which fly over the fence) and strikeouts (where the ball is never put in play). For hitters, BABIP reflects a combination of skill (bat speed, exit velocity, sprint speed) and luck (fielder positioning, defensive quality). For pitchers, BABIP on balls in play against them indicates how much the defense and randomness affected their results.

How is BABIP calculated?

BABIP is calculated by subtracting home runs from hits (numerator) and dividing by at-bats minus strikeouts minus home runs plus sacrifice flies (denominator). This isolates only plate appearances where the ball was put into the field of play and could have been fielded.

What is a good BABIP in baseball?

The major league average BABIP for hitters is consistently around .290–.300. Batters typically carry a "true talent" BABIP based on their speed and contact quality — fast slap hitters tend toward .310–.330, while slow power hitters may settle around .270–.285. A hitter with a BABIP dramatically above or below their career norm is likely experiencing luck that will regress. For pitchers, league-average BABIP against is also around .290–.300; pitchers with BABIP above .320 are likely unlucky and due to improve.

What is a good BABIP for a hitter?

The league average BABIP is around .295–.300. A hitter's personal "true talent" BABIP depends heavily on their speed and contact quality. Fast slap hitters (Ichiro, Tony Gwynn) sustain BABIPs of .330 or higher. Slow sluggers may post true-talent BABIPs of .270–.280. The key is comparing a player's current BABIP to their career average — a hitter sitting .060 points above their career norm is likely benefiting from temporary good fortune on batted balls.

Why does BABIP matter for evaluating pitchers?

For pitchers, BABIP on balls in play against them is largely outside their control — fielding quality and random ball-in-play outcomes account for most of the variance. A pitcher with a .340 BABIP against likely suffered from poor defense or unlucky hit placement, not an actual decline in skill. Metrics like FIP and xFIP correct for this by ignoring balls in play entirely. When a pitcher's ERA is much higher than their FIP and their BABIP against is well above .300, regression to the mean is likely.

EXPLORE MORE STATS

Pitching

ERA

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Batting

OPS

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Batting

AVG

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Batting

HR

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Batting

RBI

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Advanced

WAR

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Pitching

WHIP

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Batting

SLG

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Batting

OBP

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Pitching

Wins

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Pitching

SO

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Batting

SB

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Pitching

SV

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Batting

BB

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Advanced

FIP

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Pitching

K/9

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BB/9

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Advanced

wOBA

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Advanced

PIV

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RELATED LEADERBOARDS

Career Home Runs → Career Batting Average → Single-Season RBI → Single-Season ERA → Career Wins → All Leaderboards →