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 | 64 | 11 | 0 | 6 | .172 | .185 | .203 | .388 | |
  |
Count 1-2 | 67 | 11 | 1 | 2 | .164 | .164 | .224 | .388 | |
  |
Count 2-2 | 15 | 2 | 0 | 0 | .133 | .188 | .200 | .388 | |
  |
Count 1-2 | 105 | 14 | 4 | 11 | .133 | .131 | .257 | .388 | |
  |
Count 1-0 | 31 | 6 | 0 | 2 | .194 | .194 | .194 | .387 | |
|
Count 1-2 | 28 | 4 | 0 | 5 | .143 | .172 | .214 | .387 | |
  |
Count 1-2 | 62 | 10 | 1 | 3 | .161 | .161 | .226 | .387 | |
  |
Count 3-2 | 19 | 1 | 0 | 0 | .053 | .333 | .053 | .386 | |
  |
Count 0-2 | 57 | 8 | 1 | 3 | .140 | .140 | .246 | .386 | |
|
Count 1-2 | 92 | 14 | 0 | 8 | .152 | .158 | .228 | .386 | |
  |
Count 0-2 | 41 | 6 | 0 | 4 | .146 | .167 | .220 | .386 | |
  |
Count 0-2 | 36 | 5 | 1 | 3 | .139 | .135 | .250 | .385 | |
  |
Count 2-2 | 85 | 13 | 1 | 7 | .153 | .149 | .235 | .385 | |
|
Count 0-2 | 13 | 2 | 0 | 1 | .154 | .154 | .231 | .385 | |
  |
Count 1-2 | 52 | 9 | 0 | 4 | .173 | .173 | .212 | .385 | |
  |
Count 0-2 | 26 | 4 | 0 | 3 | .154 | .154 | .231 | .385 | |
|
Count 1-0 | 26 | 5 | 0 | 2 | .192 | .192 | .192 | .385 | |
|
Count 2-1 | 13 | 2 | 0 | 0 | .154 | .154 | .231 | .385 | |
  |
Count 1-2 | 38 | 6 | 0 | 2 | .158 | .200 | .184 | .384 | |
  |
Count 1-2 | 101 | 17 | 1 | 7 | .168 | .167 | .218 | .384 | |
|
Count 2-2 | 49 | 9 | 0 | 3 | .184 | .200 | .184 | .384 | |
  |
Count 2-2 | 38 | 6 | 0 | 2 | .158 | .200 | .184 | .384 | |
  |
Count 1-2 | 88 | 10 | 3 | 8 | .114 | .122 | .261 | .384 | |
|
Count 1-2 | 107 | 16 | 2 | 5 | .150 | .150 | .234 | .383 | |
  |
Count 0-2 | 47 | 7 | 0 | 4 | .149 | .149 | .234 | .383 |
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.