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Hit Breakdown (for SLG & wOBA)
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Batting Average
.000
Enter at-bats and hits above
batting avg .150 .275 .400
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Batting Avg
.000
H/AB
On-Base %
.000
OBP
Slugging %
.000
SLG
OPS
.000
OBP + SLG
wOBA
.000
Weighted OBA
ISO
.000
Isolated Power
BABIP
.000
Balls In Play
K%
0.0%
Strikeout Rate
BB%
0.0%
Walk Rate

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BA
OBP
SLG
wOBA

Singles (auto-computed): 0  ·  2024 MLB avg: BA .243 / OBP .309 / SLG .394 / OPS .703

Season Projector

Stats from Tab 1 carry over automatically. Set your games played and season length to project full-season totals.

Projected Full-Season Totals

Hits
projected H
Home Runs
projected HR
RBI
projected RBI
Walks
projected BB
Strikeouts
projected K
BA
batting avg
OBP
on-base %
OPS
OBP + SLG

Hits Needed to Reach Targets

Target BAStatusReq. Hit Rate

Season Pace Chart

How Your Pace Compares to Single-Season Legends

MLB League Batting Average by Decade

DecadeLeague BAvs 2024

Data: MLB historical averages (AL + NL combined). Pink bar = 2020s (current era).

Career Batting Average Leaders

#PlayerBAYearsHR

Single-Season .380+ Leaders

#PlayerBAYearTeam

Ted Williams' .406 in 1941 is the last .400 season in MLB history.

2024 MLB Batting Average by Position

Outfielders and DHs tend to carry the highest offensive expectations; catchers the lowest due to the defensive demands of the position.

Compare Your Stats

Your stats from Tab 1 are loaded automatically. Choose a Hall of Fame player to compare, or enter custom stats for the right column.

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How to Use This Calculator

1
Enter Core Stats
Type your At-Bats (AB) and Hits (H). Add Walks, HBP, and Sac Flies for OBP. The PA field auto-computes from AB + BB + HBP + SF.
2
Add Hit Breakdown
Enter 2B, 3B, and HR to unlock Slugging %, OPS, ISO, and wOBA. Singles are calculated automatically from H − 2B − 3B − HR.
3
Explore Projections
Switch to the Season Projector tab to extrapolate your stats over a full 162-game season, see what targets are reachable, and compare to historical leaders.

Formula Reference

Batting Average
BA = H ÷ AB
The simplest batting metric. Does not account for walks, power, or at-bat quality. MLB avg 2024: .243.
On-Base Percentage
OBP = (H + BB + HBP) ÷ (AB + BB + HBP + SF)
How often a batter reaches base safely. More predictive than BA. MLB avg 2024: .309.
Slugging Percentage
SLG = (1B + 2×2B + 3×3B + 4×HR) ÷ AB
Measures hitting power by weighting hits by total bases. A SLG above .500 is excellent.
OPS
OPS = OBP + SLG
A quick combined offensive metric. Over .900 is excellent; .800 is above average; .700 is league average. 2024 MLB: .703.
wOBA (2024 weights)
wOBA = (0.69·BB + 0.72·HBP + 0.89·1B + 1.27·2B + 1.62·3B + 2.10·HR) ÷ PA
Assigns linear run-value weights to each outcome. The most accurate single offensive metric. League average: ~.312.
ISO (Isolated Power)
ISO = SLG − BA
Pure extra-base power, stripping out singles. An ISO above .200 indicates a plus-power hitter.
BABIP
BABIP = (H − HR) ÷ (AB − K − HR + SF)
Batting average on balls in play (HRs excluded). Regresses toward ~.295 over time; extreme values indicate luck.
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Key Terms Explained

At-Bat (AB) A plate appearance that results in a hit, an out, or an error — excluding walks, HBP, sacrifice flies, and catcher's interference.
Plate Appearance (PA) Every time a batter completes a turn at bat, including AB + walks + HBP + sacrifice flies. PA ≥ AB always.
Hit by Pitch (HBP) The batter is hit by a pitch and awarded first base. Counts toward OBP and PA but not AB. Career HBP leader: Hughie Jennings (287).
Sacrifice Fly (SF) A fly ball that scores a runner, not charged as an AB. Counts in OBP denominator. Introduced as an official stat in 1954.
The Mendoza Line An informal threshold of .200 batting average, named after Mario Mendoza. Hitting below this level generally makes a player unplayable offensively.
Triple Slash The shorthand notation BA/OBP/SLG (e.g. .300/.380/.520). A quick way to summarize a hitter's offensive profile. Sometimes extended to include OPS.
Batting Title Awarded to the player with the highest BA who qualifies (at least 3.1 PA per team game, typically 502 PA in a 162-game season).
The .400 Barrier No player has batted .400 since Ted Williams hit .406 in 1941. The rise of relief pitching, night games, expanded travel, and analytics-driven defense make it nearly impossible in the modern game.
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Real-World Examples

Ted Williams — 1941 (.406)

Williams hit 37 doubles, 5 triples, and 37 home runs in 456 AB with 147 walks and 27 K. The result: a legendary slash line and the last .400 season in MLB history.

BA: .406
OBP: .553
SLG: .735
OPS: 1.287
K%: 5.9%
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The Complete Guide to Batting Average

What is Batting Average?

Batting average (BA) is the ratio of hits to at-bats — the most recognizable statistic in baseball. Calculated as H ÷ AB, it ignores walks, measures only whether the batter got a hit (not how powerful), and has been the primary measure of hitting success since Henry Chadwick invented it in the 1860s. Despite its limitations, it remains a universal language for evaluating hitters.

The Decline of the Batting Average

The MLB league batting average has dropped from .271 in 1999 to .243 in 2024 — a historic low. Three factors drive this: (1) the rise of relief pitching and the "opener" strategy means batters face fresh arms more often; (2) defensive shifting (now banned as of 2023, but analytics-based positioning continues); (3) the three-true-outcomes era — home runs, walks, and strikeouts now account for over 35% of all plate appearances, up from 22% in 1990. Strikeout rates have risen from ~15% in the 1990s to ~23% today.

Why OPS and wOBA Matter More

A .270 hitter who never walks and hits all singles may be less valuable than a .240 hitter who walks 15% of the time and hits 35 home runs. OPS captures this by combining on-base ability (OBP) with power (SLG). wOBA is even more precise, assigning run values to each outcome based on empirical data. A wOBA of .350 is excellent; .320 is average; .290 is below average.

The Legendary .400 Seasons

Only 35 players in MLB history have batted .400 or higher in a full season, and none have done it since Ted Williams hit .406 in 1941. Ty Cobb holds the record for highest career batting average (.366) and hit above .400 three times. Rogers Hornsby's .424 in 1924 remains the highest single-season mark of the modern era. The closest modern players have come was Tony Gwynn's .394 in the strike-shortened 1994 season.

BABIP as a Luck Indicator

BABIP (Batting Average on Balls In Play) is a tool for identifying unsustainably high or low batting averages. The MLB average BABIP is ~.295. If a batter has a .360 BABIP and a .320 batting average in April, regression toward the mean is likely — their BA will decline even with the same contact rate. Conversely, a .200 BABIP may indicate bad luck, and a rebound is expected. Line-drive hitters and speedsters legitimately sustain higher BABIPs; fly-ball hitters generally post lower ones.

How Position Affects Expected BA

Different positions carry different offensive expectations. Catchers (.247 MLB avg) are valued primarily for defense, game-calling, and arm strength. First basemen (.258) and outfielders (.264) are expected to hit. Middle infielders (.260–.262) occupy the middle ground. A shortstop hitting .280 is exceptional; a first baseman hitting .280 is solid but not remarkable. Context always matters.

Frequently Asked Questions

What is a good batting average?
In the modern era (2024 MLB average: .243), a batting average above .280 is considered above average, and .300+ is elite. Context matters: a catcher hitting .270 is outstanding; a DH hitting .270 may be below expectations. The historical MLB average across all eras is roughly .262.
How is batting average different from on-base percentage?
Batting average counts only hits per at-bat and ignores walks, hit-by-pitches, and sacrifice flies. On-base percentage (OBP) counts all times a batter reaches base safely, divided by plate appearances. A batter who walks 100 times may have a .260 BA but a .380 OBP — the OBP tells a far more complete story. On-base percentage is generally considered a better predictor of run scoring.
What is the highest career batting average in MLB history?
Ty Cobb holds the career record at .3664, accumulated over 24 seasons (1905–1928) with the Detroit Tigers. Rogers Hornsby is second at .3585. Among players who played primarily after 1950, Tony Gwynn (.3382) is the modern era leader, having won eight batting titles with the San Diego Padres.
Why does a high BABIP sometimes drop?
BABIP is partly skill (line drive rate, speed, contact quality) and partly luck (where balls happen to land). The MLB average is ~.295. A .380 BABIP is likely unsustainable because the defense will eventually be in the right place. Analysts use BABIP regression as a forward indicator: if a hitter's .350 BA is supported by a .400 BABIP, a BA decline is expected even with the same underlying contact quality.
What does OPS+ mean and how is it different from OPS?
OPS+ is OPS adjusted for park effects and league average, expressed as a percentage where 100 = league average. An OPS+ of 130 means 30% better than the league-average hitter after adjusting for the ballpark. This calculator shows raw OPS; OPS+ requires knowledge of the player's home park and the league average for that season.
Why don't I include sacrifice bunts in the denominator?
Sacrifice bunts (SAC) are excluded from the at-bat count by rule — they don't count as AB or PA for batting average purposes. They are a separate category. Only sacrifice flies (SF) appear in the OBP denominator. This calculation follows standard MLB scoring rules.
What are the 2024 MLB average stats I should compare against?
2024 MLB averages: BA .243 / OBP .309 / SLG .394 / OPS .703 / wOBA .312 / BABIP .295 / K% 23.1% / BB% 8.4%. These are embedded in the calculator and shown in context cards automatically when you enter your stats.
How do I project a full-season batting average from partial stats?
Use the Season Projector tab. Enter your games played and season length (typically 162 for MLB). The calculator multiplies all counting stats (H, HR, RBI, BB, K) by the factor (season games / games played), keeping rate stats (BA, OBP, OPS) the same. Note: small samples are noisy — projections from fewer than 100 PA carry high uncertainty.