Baseball Batting Average Calculator
Compute BA, OBP, SLG, OPS, OPS+ and BABIP — all in one place
Formula: BA = Hits ÷ At-Bats · displayed as .XXX
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Core Stats
Advanced Stats
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Performance Rating
Calculation Breakdown
Batter A
Batter B
Head-to-Head Comparison
Quick Formulas Reference
OBP = (H + BB + HBP) / (AB + BB + HBP + SF)
SLG = TB / AB
OPS+ = 100 × (OBP/lgOBP + SLG/lgSLG − 1)
BABIP = (H − HR) / (AB − K − HR + SF)
TB = 1B×1 + 2B×2 + 3B×3 + HR×4 | 1B = H − 2B − 3B − HR | League averages: lgOBP = .320, lgSLG = .410
Baseball Batting Statistics Explained
Baseball is a statistics-rich sport, and batting statistics provide deep insight into an offensive player's true value. The six metrics calculated here — BA, OBP, SLG, OPS, OPS+, and BABIP — are the core language of modern baseball analysis, used by scouts, front offices, broadcasters, and fans alike.
Batting Average (BA)
Batting average is the oldest and most recognizable batting statistic. It measures simply how often a player gets a hit when they come to the plate for an official at bat. A batter with 150 hits in 500 at bats has a batting average of .300. Walks, hit-by-pitches, and sacrifice flies do not count as official at bats, which is why BA alone does not capture a player's full offensive contribution.
On-Base Percentage (OBP)
On-base percentage captures how often a batter reaches base by any means — hits, walks, or hit-by-pitches. Because reaching base is the single most important act for any hitter (you cannot score if you are not on base), OBP is considered by many analysts to be a more valuable measure of offensive worth than batting average alone. The denominator includes at bats, walks, hit-by-pitches, and sacrifice flies.
Slugging Percentage (SLG)
Slugging percentage measures the raw power of a hitter by crediting extra-base hits more than singles. It divides total bases (where singles = 1 base, doubles = 2, triples = 3, home runs = 4) by at bats. A player who hits exclusively singles will have a slugging percentage equal to their batting average, while a power hitter who drives the ball for extra bases will have a slugging percentage far above their BA.
OPS (On-Base Plus Slugging)
OPS combines on-base percentage and slugging percentage into a single number that captures both a player's ability to reach base and their ability to hit for power and extra bases. Despite being a simple addition, OPS has proven to be one of the most accurate single-number predictors of a batter's offensive contribution to run production. An OPS above .900 marks an elite, All-Star-caliber season.
OPS+ (Adjusted OPS)
OPS+ adjusts a player's OPS for ballpark and era effects, normalized to a league average of 100. An OPS+ of 130 means the player performed 30% better than the league average after adjusting for park factors. This makes it easy to compare players across different ballparks and different eras of the game.
BABIP (Batting Average on Balls In Play)
BABIP measures how often a batted ball that stays in the field of play (excluding home runs) results in a hit. The league average BABIP hovers around .300. A player with an unusually high BABIP (.360+) may be experiencing good fortune that is unlikely to continue, while a very low BABIP (.250 or less) may indicate bad luck. BABIP is a valuable tool for projecting regression to the mean.
Formulas and Variable Definitions
Complete Formula List
| Stat | Formula | Notes |
|---|---|---|
| BA | H / AB | Displayed as .XXX (3 decimal places) |
| OBP | (H + BB + HBP) / (AB + BB + HBP + SF) | Excludes sac bunts from denominator |
| TB | 1B + 2×2B + 3×3B + 4×HR | 1B = H − 2B − 3B − HR |
| SLG | TB / AB | Can exceed 1.000 for elite power hitters |
| OPS | OBP + SLG | Simple sum of the two percentages |
| OPS+ | 100 × (OBP/lgOBP + SLG/lgSLG − 1) | lgOBP = .320, lgSLG = .410 |
| BABIP | (H − HR) / (AB − K − HR + SF) | Requires K and SF to compute |
Performance Benchmarks
The following benchmarks reflect MLB standards for a full season of play:
| Rating | BA | OBP | SLG | OPS |
|---|---|---|---|---|
| Elite | .300+ | .380+ | .500+ | .900+ |
| Above Average | .280–.299 | .350–.379 | .450–.499 | .800–.899 |
| Average | .260–.279 | .320–.349 | .400–.449 | .700–.799 |
| Below Average | <.250 | <.320 | <.400 | <.700 |
Historical Context
In baseball, the .300 batting average has long been the gold standard separating good hitters from great ones. Achieving a .300 average over a full major league season places a batter among the premier contact hitters in the game. The milestone has been revered since the sport's earliest professional era and remains a headline-worthy achievement in the modern game.
The evolution of statistical analysis has expanded beyond batting average. The sabermetric revolution, popularized in the early 2000s, shifted emphasis toward OBP and OPS as superior measures of offensive value. Today, front offices use Weighted On-Base Average (wOBA), Weighted Runs Created Plus (wRC+), and other advanced metrics, but BA, OBP, SLG, and OPS remain the foundational language of everyday baseball discussion.
The concept of park-adjusted statistics like OPS+ acknowledges that a .300 average at Coors Field in Denver (where the high altitude and dry air benefits hitters) is not equivalent to a .300 average at Oracle Park in San Francisco (a pitcher-friendly environment). Adjusting for these factors gives a more honest picture of a player's true ability.