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 2-2 | 31 | 4 | 1 | 4 | .129 | .125 | .258 | .383 | |
  |
Count 2-2 | 77 | 12 | 0 | 6 | .156 | .175 | .208 | .383 | |
  |
Count 1-2 | 23 | 4 | 0 | 2 | .174 | .208 | .174 | .382 | |
|
Count 2-2 | 44 | 7 | 0 | 4 | .159 | .178 | .205 | .382 | |
|
Count 1-1 | 10 | 2 | 0 | 1 | .200 | .182 | .200 | .382 | |
  |
Count 1-1 | 10 | 2 | 0 | 2 | .200 | .182 | .200 | .382 | |
  |
Count 1-2 | 52 | 8 | 0 | 5 | .154 | .151 | .231 | .382 | |
  |
Count 2-2 | 31 | 4 | 1 | 3 | .129 | .156 | .226 | .382 | |
  |
Count 0-2 | 34 | 5 | 1 | 4 | .147 | .147 | .235 | .382 | |
  |
Count 1-2 | 21 | 4 | 0 | 2 | .190 | .190 | .190 | .381 | |
|
Count 2-1 | 21 | 3 | 0 | 2 | .143 | .143 | .238 | .381 | |
|
Count 1-2 | 59 | 9 | 0 | 4 | .153 | .177 | .203 | .381 | |
  |
Count 0-1 | 63 | 10 | 1 | 5 | .159 | .159 | .222 | .381 | |
|
Count 2-2 | 79 | 13 | 1 | 3 | .165 | .165 | .215 | .380 | |
|
Count 1-2 | 68 | 10 | 2 | 7 | .147 | .145 | .235 | .380 | |
  |
Count 1-2 | 39 | 7 | 0 | 0 | .179 | .200 | .179 | .379 | |
  |
Count 0-2 | 58 | 8 | 1 | 4 | .138 | .138 | .241 | .379 | |
  |
Count 0-2 | 55 | 10 | 0 | 4 | .182 | .179 | .200 | .379 | |
|
Count 1-2 | 90 | 9 | 4 | 8 | .100 | .100 | .278 | .378 | |
  |
Count 1-2 | 79 | 12 | 1 | 4 | .152 | .163 | .215 | .378 | |
  |
Count 2-2 | 61 | 9 | 1 | 2 | .148 | .148 | .230 | .377 | |
|
Count 1-2 | 87 | 14 | 1 | 9 | .161 | .170 | .207 | .377 | |
  |
Count 2-2 | 76 | 11 | 1 | 4 | .145 | .167 | .211 | .377 | |
  |
Count 1-2 | 50 | 9 | 0 | 2 | .180 | .176 | .200 | .376 | |
  |
Count 1-2 | 66 | 8 | 2 | 9 | .121 | .132 | .242 | .375 |
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.