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 | 48 | 20 | 2 | 7 | .417 | .417 | .625 | 1.042 | |
  |
Count 0-1 | 24 | 10 | 1 | 8 | .417 | .417 | .625 | 1.042 | |
  |
Count 0-0 | 29 | 10 | 3 | 10 | .345 | .387 | .655 | 1.042 | |
  |
Count 0-0 | 49 | 18 | 3 | 14 | .367 | .367 | .673 | 1.041 | |
|
Count 2-1 | 25 | 10 | 2 | 4 | .400 | .400 | .640 | 1.040 | |
  |
Count 1-1 | 50 | 20 | 2 | 7 | .400 | .400 | .640 | 1.040 | |
  |
Count 0-1 | 25 | 10 | 1 | 5 | .400 | .400 | .640 | 1.040 | |
  |
Count 3-2 | 57 | 20 | 1 | 7 | .351 | .549 | .491 | 1.040 | |
  |
Count 1-0 | 14 | 6 | 0 | 0 | .429 | .467 | .571 | 1.038 | |
|
Count 0-0 | 41 | 18 | 0 | 5 | .439 | .429 | .610 | 1.038 | |
  |
Count 0-0 | 13 | 6 | 0 | 1 | .462 | .500 | .538 | 1.038 | |
  |
Count 0-0 | 26 | 8 | 3 | 6 | .308 | .308 | .731 | 1.038 | |
|
Count 1-1 | 16 | 6 | 1 | 2 | .375 | .412 | .625 | 1.037 | |
|
Count 3-1 | 12 | 4 | 0 | 2 | .333 | .704 | .333 | 1.037 | |
  |
Count 1-0 | 28 | 10 | 2 | 5 | .357 | .357 | .679 | 1.036 | |
  |
Count 0-1 | 20 | 7 | 1 | 1 | .350 | .435 | .600 | 1.035 | |
  |
Count 0-1 | 47 | 18 | 2 | 5 | .383 | .396 | .638 | 1.034 | |
  |
Count 1-1 | 29 | 11 | 2 | 8 | .379 | .379 | .655 | 1.034 | |
  |
Count 1-0 | 30 | 12 | 2 | 5 | .400 | .400 | .633 | 1.033 | |
|
Count 1-0 | 31 | 13 | 1 | 3 | .419 | .419 | .613 | 1.032 | |
  |
Count 1-1 | 31 | 14 | 1 | 4 | .452 | .452 | .581 | 1.032 | |
|
Count 0-0 | 77 | 31 | 3 | 22 | .403 | .395 | .636 | 1.031 | |
|
Count 0-1 | 23 | 7 | 3 | 5 | .304 | .292 | .739 | 1.031 | |
  |
Count 0-0 | 28 | 9 | 2 | 7 | .321 | .387 | .643 | 1.030 | |
  |
Count 2-1 | 24 | 7 | 3 | 6 | .292 | .280 | .750 | 1.030 |
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.