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 | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
  |
Count 0-2 | 33 | 5 | 1 | 5 | .152 | .152 | .303 | .455 | |
  |
Count 2-2 | 22 | 3 | 1 | 3 | .136 | .136 | .318 | .455 | |
  |
Count 1-1 | 11 | 1 | 1 | 1 | .091 | .091 | .364 | .455 | |
  |
Count 2-2 | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
|
Count 0-2 | 22 | 4 | 0 | 1 | .182 | .182 | .273 | .455 | |
  |
Count 0-2 | 44 | 8 | 1 | 3 | .182 | .182 | .273 | .455 | |
|
Count 0-1 | 55 | 11 | 0 | 0 | .200 | .200 | .255 | .455 | |
  |
Count 1-0 | 11 | 2 | 0 | 1 | .182 | .182 | .273 | .455 | |
  |
Count 0-2 | 22 | 4 | 0 | 0 | .182 | .182 | .273 | .455 | |
  |
Count 1-2 | 11 | 1 | 1 | 1 | .091 | .091 | .364 | .455 | |
|
Count 1-1 | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
  |
Count 2-2 | 112 | 13 | 7 | 15 | .116 | .124 | .330 | .454 | |
  |
Count 0-2 | 68 | 9 | 3 | 5 | .132 | .145 | .309 | .454 | |
|
Count 1-2 | 75 | 12 | 3 | 4 | .160 | .160 | .293 | .453 | |
  |
Count 2-2 | 37 | 8 | 0 | 1 | .216 | .237 | .216 | .453 | |
  |
Count 1-2 | 73 | 14 | 1 | 7 | .192 | .192 | .260 | .452 | |
  |
Count 0-0 | 31 | 7 | 0 | 1 | .226 | .226 | .226 | .452 | |
|
Count 0-2 | 31 | 5 | 1 | 2 | .161 | .161 | .290 | .452 | |
  |
Count 2-1 | 21 | 3 | 1 | 4 | .143 | .167 | .286 | .452 | |
  |
Count 1-2 | 110 | 20 | 1 | 4 | .182 | .196 | .255 | .451 | |
  |
Count 0-2 | 20 | 3 | 1 | 3 | .150 | .150 | .300 | .450 | |
|
Count 3-2 | 10 | 1 | 0 | 0 | .100 | .250 | .200 | .450 | |
  |
Count 1-2 | 40 | 6 | 2 | 5 | .150 | .150 | .300 | .450 | |
  |
Count 2-2 | 20 | 4 | 0 | 3 | .200 | .200 | .250 | .450 |
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.