MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Count 0-0 | 71 | 30 | 2 | 12 | .423 | .431 | .592 | 1.022 | |
  |
Count 3-2 | 32 | 10 | 2 | 7 | .313 | .489 | .531 | 1.021 | |
|
Count 1-0 | 35 | 10 | 4 | 8 | .286 | .306 | .714 | 1.020 | |
  |
Count 3-1 | 18 | 5 | 1 | 2 | .278 | .519 | .500 | 1.019 | |
|
Count 3-1 | 14 | 5 | 0 | 1 | .357 | .591 | .429 | 1.019 | |
  |
Count 0-0 | 70 | 25 | 4 | 15 | .357 | .418 | .600 | 1.018 | |
  |
Count 0-0 | 71 | 26 | 4 | 11 | .366 | .384 | .634 | 1.017 | |
  |
Count 3-1 | 12 | 2 | 1 | 1 | .167 | .600 | .417 | 1.017 | |
|
Count 3-2 | 10 | 3 | 0 | 2 | .300 | .417 | .600 | 1.017 | |
|
Count 0-1 | 42 | 14 | 4 | 10 | .333 | .349 | .667 | 1.016 | |
  |
Count 1-1 | 40 | 14 | 3 | 5 | .350 | .341 | .675 | 1.016 | |
  |
Count 2-1 | 17 | 7 | 1 | 5 | .412 | .368 | .647 | 1.015 | |
  |
Count 0-1 | 65 | 20 | 6 | 17 | .308 | .338 | .677 | 1.015 | |
  |
Count 0-0 | 84 | 32 | 4 | 17 | .381 | .384 | .631 | 1.015 | |
|
Count 0-1 | 13 | 4 | 1 | 2 | .308 | .400 | .615 | 1.015 | |
  |
Count 0-0 | 44 | 17 | 3 | 16 | .386 | .400 | .614 | 1.014 | |
|
Count 1-0 | 45 | 16 | 3 | 8 | .356 | .370 | .644 | 1.014 | |
  |
Count 0-0 | 74 | 25 | 6 | 16 | .338 | .338 | .676 | 1.014 | |
  |
Count 1-1 | 45 | 15 | 1 | 5 | .333 | .348 | .667 | 1.014 | |
|
Count 2-1 | 26 | 9 | 2 | 7 | .346 | .321 | .692 | 1.014 | |
  |
Count 0-0 | 54 | 22 | 1 | 10 | .407 | .421 | .593 | 1.014 | |
  |
Count 0-0 | 43 | 19 | 0 | 5 | .442 | .455 | .558 | 1.013 | |
  |
Count 0-0 | 77 | 26 | 4 | 14 | .338 | .338 | .675 | 1.013 | |
|
Count 1-1 | 48 | 19 | 2 | 5 | .396 | .388 | .625 | 1.013 | |
  |
Count 0-0 | 61 | 25 | 2 | 11 | .410 | .406 | .607 | 1.013 |
Understanding Count Splits
Count splits show how a hitter performs in different ball-strike situations. Hitter-friendly counts (2-0, 3-1) produce dramatically better outcomes than pitcher-friendly counts (0-2, 1-2). These splits reveal a hitter's approach and discipline.
Hitter Counts (2-0, 3-1)
In hitter-friendly counts, batters can sit on their pitch and drive it. OPS in 2-0 and 3-1 counts is typically 200-400 points higher than overall averages. The best hitters capitalize on these counts with power — slugging percentages often exceed 1.000 in 3-1 counts.
Pitcher Counts (0-2, 1-2)
With two strikes, hitters shift to a protective approach. AVG drops 50-100 points and power declines sharply. Hitters who maintain high performance in 0-2 counts are elite two-strike hitters — a valuable skill for avoiding strikeouts and extending at-bats.
First-Pitch Performance
The 0-0 count reveals a hitter's aggressiveness. Hitters who swing early and effectively (high 0-0 OPS) are first-pitch fastball hunters. This data is valuable for assessing a hitter's approach against pitchers who rely on first-pitch strikes.
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Data Source & Methodology
Batting splits sourced from MLB Stats API. Stats reflect current season data and update daily as games are played.
Frequently Asked Questions
What are the best counts for hitters?
- The 3-1 and 2-0 counts are the most favorable for hitters. In these counts, pitchers must throw strikes to avoid walks, and hitters can anticipate fastballs. League-average OPS in 3-1 counts is typically 300+ points higher than overall averages.
How do count splits help with prop betting?
- Count splits reveal which hitters capitalize on favorable counts. A hitter with elite 2-0 and 3-1 splits combined with good plate discipline (high walk rate) will get more pitches to hit. This translates to higher expected stats per plate appearance — useful for total bases and hits props.
What does a high 0-0 count OPS mean?
- A high 0-0 OPS indicates an aggressive, effective first-pitch hitter. These hitters hunt fastballs early in the count and do damage when they get one. This is especially relevant when facing pitchers who throw a high percentage of first-pitch strikes.