Enter hits, at-bats, walks, and extra-base hits to calculate batting average (BA), on-base percentage (OBP), slugging percentage (SLG), and OPS. Essential stats for evaluating baseball and softball hitters.
Baseball batting statistics have been refined over 150+ years from the simple batting average to the modern sabermetric revolution that produced advanced stats like wOBA, wRC+, and WAR. The traditional triple — batting average (BA), on-base percentage (OBP), and slugging percentage (SLG) — plus their sum OPS (On-base Plus Slugging) remain the most widely cited offensive statistics, used by everyone from youth coaches to MLB front offices. Together they capture different aspects of hitting: BA measures hit frequency; OBP measures all reaching base; SLG measures power; OPS combines them.
The shift from batting average alone to OPS reflected the realization (popularized in "Moneyball" by Michael Lewis, 2003) that walks and extra-base hits add tremendous value not captured by batting average. A player with .250 BA but .375 OBP and .500 SLG (.875 OPS, very good) creates more runs than a player with .300 BA but .320 OBP and .380 SLG (.700 OPS, mediocre). This insight transformed front office decision-making and player valuation. Modern advanced statistics build on OPS-style thinking.
This calculator computes batting average, on-base percentage, slugging percentage, and OPS from raw inputs (at-bats, hits, doubles, triples, home runs, walks, hit-by-pitch, sacrifice flies). Use it for: youth baseball/softball stats tracking, fantasy baseball analysis, MLB player comparisons, scouting analytics, or general baseball understanding. Important context: stats need to be evaluated in era and league context — .300 BA today means something different than .300 BA in 1925 (when batting averages were inflated) or 1968 (the famous pitcher's year when leagues hit .230). Park factors also matter (Coors Field inflates hitting stats; Petco Park deflates). For serious analysis, use park-adjusted and era-adjusted stats like OPS+ (where 100 = league average).
Player season: 400 AB, 120 H, 25 2B, 3 3B, 15 HR, 50 BB, 5 HBP, 4 SF. BA: 120/400 = .300 Singles: 120 - 25 - 3 - 15 = 77 Total bases: 77 + 50 + 9 + 60 = 196 SLG: 196/400 = .490 OBP: (120 + 50 + 5) / (400 + 50 + 5 + 4) = 175/459 = .381 OPS: .381 + .490 = .871 Strong season. .300/.380/.490 line equivalent to All-Star caliber. .871 OPS would rank top 25% of regular position players. For context: this is approximately 2020-2024 MLB All-Star average. Hall of Fame career trajectory if sustained.
Player season: 500 AB, 175 H, 30 2B, 5 3B, 5 HR, 35 BB, 3 HBP, 6 SF. BA: 175/500 = .350 (excellent) Singles: 175 - 30 - 5 - 5 = 135 Total bases: 135 + 60 + 15 + 20 = 230 SLG: 230/500 = .460 (good) OBP: (175 + 35 + 3) / (500 + 35 + 3 + 6) = 213/544 = .392 OPS: .392 + .460 = .852 Strong hitter — high BA but modest power. Classic contact hitter profile (Tony Gwynn style). Compare to power hitter with .240/.350/.500 (35 HR season): same .850 OPS but very different profiles. Both valuable. Old-school evaluation favored high-BA. Modern analysis values OPS regardless of how achieved.
Player season: 500 AB, 130 H, 25 2B, 2 3B, 35 HR, 80 BB, 8 HBP, 5 SF. BA: 130/500 = .260 (below average) Singles: 130 - 25 - 2 - 35 = 68 Total bases: 68 + 50 + 6 + 140 = 264 SLG: 264/500 = .528 (excellent power) OBP: (130 + 80 + 8) / (500 + 80 + 8 + 5) = 218/593 = .368 OPS: .368 + .528 = .896 Despite mediocre BA, player's power and walks produce excellent .896 OPS — All-Star quality. Old-school view: "Just a .260 hitter" undervalues this player. Modern view: walks + power = run production. OPS captures it. Many modern stars fit this profile (Aaron Judge, Joey Gallo, Mike Trout in some seasons). High strikeout rates often accompany this style, but offensive production high.
Use this calculator for youth baseball/softball stats tracking, fantasy baseball analysis, MLB player comparisons, scouting analytics, or general baseball understanding.
Pair with golf-handicap (other sport-specific calculations).
Important batting stats considerations:
1. **Stats need era context.** .300 BA in 1925 vs. 2024 means different things. Use OPS+ for era-adjusted comparison.
2. **Park factors matter.** Coors inflates; Petco deflates. Park-adjusted stats fairer for comparison.
3. **Sample size critical.** Less than 100-150 AB: too small for reliable assessment. Full season (400+ AB): meaningful.
4. **OPS captures most offensive value.** Better single metric than BA alone. OPS+ even better (era/park adjusted).
5. **Advanced stats exist.** wOBA, wRC+, WAR more accurate than OPS but require more data.
6. **Different positions, different baselines.** Catchers typically lower offense; shortstops historically modest; first basemen/DH expected to mash. League-average OPS varies by position.
7. **Defensive value matters too.** Hitter stats don't capture defense. WAR includes both.
8. **Baserunning skipped in basic stats.** Stolen bases, runs scored capture some baserunning value.
9. **Clutch hitting controversial.** Statistical evidence weak for sustained clutch performance.
10. **Platoon splits often matter.** Many players much better vs. opposite-handed pitching. League platoon advantage typically 30-50 points OPS.
11. **Aging affects stats.** Power tends to peak 26-30; bat speed declines after 32; on-base skills sometimes hold longer.
12. **Track team-level stats for context.** Team OBP correlates strongly with runs scored. Pitching matters equally for wins.
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AVG
.300
OBP
.381
SLG
.490
OPS
.871
| Stat | Value |
|---|---|
| At Bats | 400 |
| Hits | 120 |
| Singles | 77 |
| Doubles | 25 |
| Triples | 3 |
| Home Runs | 15 |
| Total Bases | 196 |
| Batting Average | .300 |
| On-Base % (OBP) | .381 |
| Slugging % (SLG) | .490 |
| OPS | .871 |