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 0-1 | 36 | 16 | 2 | 6 | .444 | .444 | .694 | 1.139 | |
  |
Count 1-0 | 27 | 8 | 4 | 7 | .296 | .286 | .852 | 1.138 | |
  |
Count 3-1 | 17 | 4 | 1 | 2 | .235 | .667 | .471 | 1.137 | |
  |
Count 1-0 | 13 | 3 | 3 | 5 | .231 | .214 | .923 | 1.137 | |
|
Count 0-0 | 78 | 27 | 9 | 21 | .346 | .366 | .769 | 1.135 | |
  |
Count 0-1 | 37 | 14 | 4 | 5 | .378 | .378 | .757 | 1.135 | |
  |
Count 0-1 | 15 | 8 | 0 | 0 | .533 | .533 | .600 | 1.133 | |
  |
Count 1-0 | 30 | 11 | 3 | 6 | .367 | .367 | .767 | 1.133 | |
|
Count 0-1 | 39 | 16 | 3 | 12 | .410 | .415 | .718 | 1.133 | |
  |
Count 0-1 | 15 | 7 | 1 | 5 | .467 | .467 | .667 | 1.133 | |
  |
Count 3-2 | 54 | 21 | 1 | 12 | .389 | .558 | .574 | 1.133 | |
  |
Count 2-1 | 15 | 6 | 1 | 2 | .400 | .400 | .733 | 1.133 | |
|
Count 2-1 | 13 | 4 | 2 | 7 | .308 | .286 | .846 | 1.132 | |
  |
Count 1-0 | 39 | 16 | 1 | 7 | .410 | .439 | .692 | 1.131 | |
|
Count 0-0 | 35 | 15 | 2 | 7 | .429 | .474 | .657 | 1.131 | |
|
Count 1-1 | 35 | 14 | 3 | 9 | .400 | .417 | .714 | 1.131 | |
  |
Count 0-0 | 49 | 17 | 6 | 12 | .347 | .353 | .776 | 1.128 | |
  |
Count 1-1 | 36 | 15 | 2 | 7 | .417 | .432 | .694 | 1.127 | |
|
Count 0-0 | 61 | 20 | 7 | 13 | .328 | .423 | .705 | 1.127 | |
  |
Count 0-0 | 80 | 27 | 8 | 16 | .338 | .376 | .750 | 1.126 | |
|
Count 3-1 | 12 | 3 | 1 | 3 | .250 | .625 | .500 | 1.125 | |
  |
Count 0-0 | 16 | 6 | 2 | 5 | .375 | .375 | .750 | 1.125 | |
|
Count 0-1 | 16 | 7 | 0 | 3 | .438 | .500 | .625 | 1.125 | |
|
Count 0-0 | 63 | 24 | 5 | 15 | .381 | .379 | .746 | 1.125 | |
  |
Count 1-1 | 49 | 17 | 6 | 15 | .347 | .389 | .735 | 1.124 |
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.