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 1-0 | 34 | 6 | 1 | 2 | .176 | .176 | .324 | .500 | |
  |
Count 0-2 | 32 | 6 | 1 | 4 | .188 | .188 | .313 | .500 | |
  |
Count 1-0 | 14 | 2 | 1 | 1 | .143 | .143 | .357 | .500 | |
  |
Count 2-0 | 10 | 1 | 1 | 1 | .100 | .100 | .400 | .500 | |
|
Count 3-2 | 18 | 2 | 0 | 1 | .111 | .333 | .167 | .500 | |
  |
Count 0-1 | 12 | 3 | 0 | 0 | .250 | .250 | .250 | .500 | |
  |
Count 0-0 | 10 | 2 | 0 | 1 | .200 | .200 | .300 | .500 | |
  |
Count 1-2 | 20 | 4 | 0 | 1 | .200 | .200 | .300 | .500 | |
  |
Count 2-2 | 56 | 11 | 1 | 7 | .196 | .196 | .304 | .500 | |
|
Count 2-2 | 34 | 7 | 0 | 1 | .206 | .206 | .294 | .500 | |
  |
Count 0-1 | 36 | 7 | 1 | 2 | .194 | .194 | .306 | .500 | |
  |
Count 0-2 | 14 | 3 | 0 | 4 | .214 | .214 | .286 | .500 | |
  |
Count 1-0 | 14 | 2 | 1 | 1 | .143 | .143 | .357 | .500 | |
  |
Count 2-1 | 12 | 3 | 0 | 0 | .250 | .250 | .250 | .500 | |
|
Count 0-0 | 20 | 5 | 0 | 0 | .250 | .250 | .250 | .500 | |
|
Count 1-0 | 16 | 4 | 0 | 1 | .250 | .250 | .250 | .500 | |
  |
Count 1-0 | 22 | 5 | 0 | 1 | .227 | .227 | .273 | .500 | |
|
Count 1-0 | 12 | 3 | 0 | 1 | .250 | .250 | .250 | .500 | |
  |
Count 0-1 | 12 | 3 | 0 | 0 | .250 | .250 | .250 | .500 | |
|
Count 2-2 | 86 | 17 | 2 | 9 | .198 | .198 | .302 | .500 | |
|
Count 0-1 | 20 | 5 | 0 | 0 | .250 | .250 | .250 | .500 | |
|
Count 1-1 | 32 | 7 | 0 | 2 | .219 | .219 | .281 | .500 | |
|
Count 0-2 | 12 | 3 | 0 | 1 | .250 | .250 | .250 | .500 | |
  |
Count 1-1 | 12 | 3 | 0 | 0 | .250 | .250 | .250 | .500 | |
  |
Count 1-2 | 36 | 6 | 2 | 4 | .167 | .167 | .333 | .500 |
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.