Audited ·Last updated 28 Jul 2026·4 citations·Tier 2·0 uses

BABIP Calculator — Batting Average on Balls in Play

Free BABIP calculator using (H − HR) ÷ (AB − K − HR + SF). Get BABIP, balls in play, and the batting average the line projects to at a target BABIP.

BABIP Calculator

Official at-bats. Walks, hit-by-pitches, sacrifice bunts and sacrifice flies are plate appearances but not at-bats (Official Baseball Rules 9.02(a)(1)).
All safe hits — singles, doubles, triples and home runs. Cannot exceed at-bats.
Subtracted from both the top and the bottom of the fraction. A home run was never a ball a fielder could do anything about, so it carries no information about luck or defence.
At-bats that ended without the ball being put in play. Cannot exceed the number of at-bats that did not end in a hit.
Added back into the denominator. A sacrifice fly really was a ball in play — a fielder caught it — but the rules do not charge it as an at-bat, so it has to be restored by hand.
The BABIP you want to test the line against, entered as a rate. .300 is the league average FanGraphs publishes; use a player's own career BABIP for a more honest regression estimate.
BABIP
0.3761
Hits on balls in play divided by balls in play. League average is almost always right around .300; FanGraphs puts elite hitters near .350 and struggling hitters near .260.
Balls in play
335
Hits on balls in play
126
Batting average
0.3309
Batting average at the target BABIP
0.2837
Hits above the target
25.5
Points above the target
76.1194
Reading the number
A BABIP of 0.376 is 76.1 points above the target of 0.3. That is at or above .350, the level FanGraphs describes as elite-hitter territory — sustainable only for batters who hit the ball genuinely hard and run genuinely well.

Background.

BABIP — batting average on balls in play — asks a much narrower question than batting average does. Strip out the home runs, which no fielder could ever have caught, and strip out the strikeouts, which no fielder ever touched, and what is left is the set of plate appearances where a batted ball actually entered the field of play and somebody had a chance to field it. BABIP is simply the batting average on that subset. It is the single most useful number for deciding whether a hot streak or a slump is real.

The formula is (H − HR) ÷ (AB − K − HR + SF). The sacrifice fly term catches people out. A sacrifice fly genuinely was a ball in play — an outfielder caught it — but the Official Baseball Rules do not charge it as an at-bat, so it has been removed from AB already and has to be added back by hand. Everything else follows from what an at-bat is: walks, hit-by-pitches and sacrifice bunts were never at-bats to begin with, so they never entered the calculation.

What makes BABIP worth calculating is that it moves for reasons that have very little to do with the batter. League-wide BABIP is almost always right around .300, and it stays there year after year because it is dominated by three things: how hard the ball was hit, where the fielders were standing, and luck. A hitter carrying a .380 BABIP in July is not usually a hitter who has learned something in June — he is usually a hitter whose grounders have been finding holes. When that stops, his batting average falls even though nothing about his swing changed.

The same logic runs in the opposite direction for pitchers, and this is where BABIP earned its reputation. A pitcher's BABIP is largely outside his control, because once the ball is in play the outcome belongs to his defence and to chance. A starter with a 2.10 ERA and a .240 BABIP is being carried by balls that happened to be caught; a starter with a 5.10 ERA and a .350 BABIP is very often pitching better than his line says. This is exactly the observation that produced defence-independent pitching statistics, which deliberately throw away every ball in play and grade a pitcher only on strikeouts, walks and home runs.

Because it moves so much on luck, BABIP is also slow to become meaningful. FanGraphs puts the point at which a hitter's own BABIP starts telling you something about him at roughly 800 balls in play — considerably more than a single season provides. Below that, the right comparison is not to .300 but to the player's own career figure, which is why this calculator lets you set the target yourself rather than hard-coding the league average.

The projection built into this page turns the gap into something concrete. Rather than telling you a BABIP is high, it recomputes the batting average the same line would have carried at your chosen target, holding at-bats, strikeouts and home runs fixed. That is the number that actually matters for a fantasy trade, an arbitration case or an argument in a group chat: not "his BABIP is 76 points high" but "he is a .331 hitter whose line projects to .284 once the balls in play fall in at a league-average rate". Every figure on the page is reproduced from the same box-score categories the official scorer records, and the implementation is pinned against a season line the league itself publishes.

What is babip calculator?

BABIP is the batting average calculated only over plate appearances that ended with a batted ball inside the field of play. Formally it is (H − HR) ÷ (AB − K − HR + SF): hits minus home runs, over at-bats minus strikeouts minus home runs plus sacrifice flies. Home runs and strikeouts are removed from both ends because neither involved a fielder; sacrifice flies are restored to the denominator because they did involve a fielder even though the rules do not count them as at-bats. Used on a hitter, BABIP separates the part of his batting average that depends on contact quality and luck from the part that depends on home runs and strikeouts, both of which are far more stable. Used on a pitcher, BABIP is close to a pure measure of the defence behind him and the run of the ball, because pitchers exert very little influence over what happens once a ball is put into play. In both cases the reference point is roughly .300, a figure that has been remarkably stable league-wide across eras and rule changes. Individual hitters do sustain BABIPs meaningfully above and below that mark — fast right-handed line-drive hitters run high, slow left-handed pull hitters who see the shift run low — but the honest test is always against the player's own history rather than against the league. BABIP is not a value statistic and should never be read as one; it is a diagnostic that tells you which parts of a batting or pitching line are likely to persist.

How to use this calculator.

  1. Enter at-bats and hits. Take both straight from the box score. Do not use plate appearances in place of at-bats — walks and hit-by-pitches are not at-bats, and mixing the two inflates the denominator.
  2. Enter home runs. They come out of both the numerator and the denominator. If you leave them in, you are computing batting average on contact, which is a different and much less useful statistic.
  3. Enter strikeouts. They come out of the denominator only, because a strikeout is an at-bat that produced no ball in play.
  4. Enter sacrifice flies. This is the term most hand calculations miss. They are added back to the denominator because they were balls in play that the rules do not charge as at-bats.
  5. Set the target BABIP. Use .300 for the league average FanGraphs publishes, or type in the player's own career BABIP if you have it — for a sample below about 800 balls in play, the career figure is the better anchor.
  6. Read the projection alongside the BABIP itself. The projected batting average holds at-bats, strikeouts and home runs fixed and asks only what happens when the balls in play fall in at the target rate, which is the cleanest way to see how much of the line is exposed.

The formula.

BABIP = (H − HR) ⁄ (AB − K − HR + SF)

Start from the denominator, because that is where the whole idea lives. An at-bat is already a filtered category: Official Baseball Rules 9.02(a)(1) says no time at bat is charged when a batter draws a walk, is hit by a pitch, hits a sacrifice bunt, hits a sacrifice fly, or is awarded first base on interference or obstruction. So AB has removed the plate appearances where no ball was struck at all — except for strikeouts, which are at-bats. Subtract strikeouts and you have removed every at-bat that produced nothing for a fielder to do. Subtract home runs and you have removed the at-bats where a ball was struck but no fielder could have reached it. Add sacrifice flies back and you have restored the one category that was a genuine ball in play but was excluded from AB by rule. What remains, AB − K − HR + SF, is the count of batted balls that stayed inside the field of play.

The numerator follows the same logic: H − HR is every hit that a fielder had at least a theoretical chance to prevent. Divide one by the other and you have the batting average over that population.

The projection inverts the same identity. If balls in play convert to hits at a rate t, then total hits are (t × balls in play) + HR, because home runs are unaffected by t. Dividing that by at-bats gives the batting average the line would carry: projected AVG = ((t × BIP) + HR) ÷ AB. Nothing else in the line changes — the same strikeouts, the same home runs, the same at-bats — which is exactly what makes it a fair comparison. The gap in hits, (H − HR) − (t × BIP), is the same statement expressed as a hit total, and the gap in points, (BABIP − t) × 1000, is the way the difference is conventionally quoted.

One consequence worth noticing: because home runs sit outside the projection, a high-home-run hitter loses less batting average to BABIP regression than a contact hitter with the same BABIP gap. The home runs are locked in. That is not a quirk of this calculator; it is a real property of the statistic, and it is one reason power hitters' batting averages are less volatile than their BABIPs suggest.

The calculator refuses a line with no balls in play at all — every at-bat a strikeout or a home run — because BABIP is undefined there rather than zero, and printing 0.000 would be a lie.

A worked example.

Example

Aaron Judge's 2025 season is a clean test case because the league publishes the answer. His line was 541 at-bats, 179 hits, 53 home runs, 160 strikeouts and 7 sacrifice flies. Balls in play: 541 − 160 − 53 + 7 = 335. Hits on balls in play: 179 − 53 = 126. BABIP: 126 ÷ 335 = 0.376119403, which the MLB Stats API publishes as .376. His batting average was 179 ÷ 541 = 0.3308687616, published as .331. Now the projection at a league-average .300. Balls in play would have produced 0.300 × 335 = 100.5 hits instead of 126, so he is carrying 25.5 hits above a league-average rate — a gap of 76.1194029851 points of BABIP. Adding his 53 home runs back gives 153.5 total hits, and 153.5 ÷ 541 = 0.2837338262. In other words a .331 hitter whose balls in play were converting at .376 projects to a .284 hitter at .300, a swing of 47 points of batting average. That does not mean .284 is his true talent — Judge's career BABIP has run well above .300, and 335 balls in play is far short of the roughly 800 FanGraphs says a hitter's BABIP needs before it stabilises. It means that roughly a quarter of the distance between his batting average and a league-average one was riding on where the balls landed, and that setting the target to his own career BABIP rather than to .300 is the more honest exercise.

hits179
sacrifice Flies7
home Runs53
target Babip0.3
at Bats541
strikeouts160

Frequently asked questions.

What is a good BABIP?
For a hitter, FanGraphs puts elite territory around .350 and struggling territory around .260, with the league sitting almost always right around .300. But "good" is the wrong frame: BABIP is a diagnostic, not a value statistic. A .350 BABIP is only good news if the batter has a history of sustaining one — fast right-handed hitters who drive line drives genuinely do — and is a warning sign if he does not. For a pitcher there is essentially no such thing as a good BABIP, because pitchers exert very little control over it; a .240 BABIP against a starter is a statement about his defence and his luck, not about him.
Why does the formula add sacrifice flies back to the denominator?
Because a sacrifice fly was a genuine ball in play that the rules refuse to count as an at-bat. Official Baseball Rules 9.02(a)(1)(A) states that no time at bat is charged when a player hits a sacrifice bunt or sacrifice fly, so a sacrifice fly has already been removed from AB before you start. Since the batter did put the ball in the field of play and a fielder caught it, leaving it out would understate the number of balls in play and overstate BABIP. Sacrifice bunts are not added back — a bunt is a batted ball, but it is scored as a sacrifice precisely because it was not an attempt to get a hit, and the standard definition excludes it.
Why is league-average BABIP always around .300?
Because it is an aggregate of millions of batted balls whose outcomes are governed mostly by physics and fielder positioning, both of which change slowly. Individual hitters vary a great deal — speed, handedness, line-drive rate and how often defences shift against them all move the number — but those effects largely cancel across a league. The figure has proved stable enough that FanGraphs states flatly that league average is almost always right around .300 for hitters and for pitchers alike. It is not a constant of nature, and it does drift a few points with rule changes such as the 2023 restrictions on defensive shifts, which is why this calculator lets you set the target rather than assuming .300.
How does BABIP apply to pitchers?
Identically in arithmetic and very differently in interpretation. You feed the pitcher's allowed line into the same formula — hits allowed, home runs allowed, at-bats against, strikeouts, sacrifice flies allowed. The result tells you how often the balls hit against him fell in. Because a pitcher has almost no control over what happens to a ball once it is put in play, a BABIP far from .300 is usually a statement about the defence behind him or about variance rather than about his pitching. A pitcher running a .350 BABIP is frequently better than his ERA; one running .250 is frequently worse. This observation is the foundation of defence-independent pitching statistics such as FIP, which discard balls in play entirely.
How large a sample does BABIP need before it means anything?
Roughly 800 balls in play for a hitter, according to FanGraphs — which is more than a full season provides. A qualified hitter typically records somewhere between 350 and 450 balls in play in a season, so even a full year of data is only about half a sample. Below that threshold, comparing a player's BABIP to the league's .300 is close to meaningless; the right comparison is to his own multi-year figure. For pitchers the situation is worse still, because the underlying skill component is so small that a pitcher's own career BABIP is usually the best estimate of his next season's.
Does a high BABIP always mean a player got lucky?
No, and treating it that way is the most common misuse of the statistic. Sustained high BABIPs are real for a recognisable player type: batters who hit line drives rather than fly balls, batters fast enough to beat out infield hits, and right-handed batters who face fewer extreme defensive alignments. Sustained low BABIPs are real for slow pull hitters. What a high BABIP does tell you is that the batting average sitting on top of it is not self-supporting — if the BABIP falls, the average falls with it. Whether the BABIP should be expected to fall is a question the number cannot answer on its own; that requires the player's history, and often his batted-ball data.
Why does this calculator use the box-score denominator rather than batted-ball data?
Because AB − K − HR + SF can be reconstructed from any box score, on any level of baseball, for any era. The alternative denominator counts ground balls plus fly balls plus line drives from batted-ball classification data, which produces a slightly different number, exists only for leagues that track it, and depends on a human or an algorithm deciding what counts as a line drive. FanGraphs, Baseball-Reference and the MLB Stats API all publish the box-score version, which is what this page implements — and the Aaron Judge worked example confirms it reproduces the league's own published figure to three decimal places.

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