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 | 94 | 14 | 2 | 6 | .149 | .149 | .245 | .394 | |
  |
Count 0-2 | 48 | 6 | 2 | 2 | .125 | .143 | .250 | .393 | |
  |
Count 1-2 | 53 | 8 | 1 | 4 | .151 | .167 | .226 | .393 | |
  |
Count 0-2 | 53 | 8 | 0 | 7 | .151 | .148 | .245 | .393 | |
  |
Count 1-2 | 28 | 5 | 0 | 3 | .179 | .179 | .214 | .393 | |
  |
Count 0-2 | 58 | 10 | 0 | 4 | .172 | .186 | .207 | .393 | |
  |
Count 1-2 | 25 | 4 | 0 | 1 | .160 | .192 | .200 | .392 | |
  |
Count 1-2 | 43 | 5 | 2 | 2 | .116 | .136 | .256 | .392 | |
  |
Count 1-2 | 79 | 14 | 0 | 5 | .177 | .177 | .215 | .392 | |
  |
Count 0-2 | 23 | 4 | 0 | 0 | .174 | .174 | .217 | .391 | |
|
Count 1-2 | 69 | 11 | 1 | 3 | .159 | .159 | .232 | .391 | |
  |
Count 1-2 | 29 | 5 | 0 | 2 | .172 | .219 | .172 | .391 | |
  |
Count 0-2 | 66 | 11 | 1 | 3 | .167 | .179 | .212 | .391 | |
|
Count 1-2 | 41 | 5 | 2 | 2 | .122 | .122 | .268 | .390 | |
  |
Count 0-2 | 33 | 3 | 2 | 4 | .091 | .118 | .273 | .390 | |
  |
Count 1-2 | 41 | 7 | 0 | 4 | .171 | .171 | .220 | .390 | |
  |
Count 0-2 | 41 | 5 | 2 | 6 | .122 | .122 | .268 | .390 | |
|
Count 1-2 | 53 | 9 | 0 | 6 | .170 | .164 | .226 | .390 | |
  |
Count 1-2 | 71 | 12 | 0 | 5 | .169 | .192 | .197 | .389 | |
  |
Count 3-2 | 11 | 0 | 0 | 0 | .000 | .389 | .000 | .389 | |
  |
Count 2-2 | 18 | 2 | 1 | 1 | .111 | .111 | .278 | .389 | |
  |
Count 1-1 | 18 | 3 | 0 | 1 | .167 | .167 | .222 | .389 | |
  |
Count 1-2 | 18 | 3 | 0 | 1 | .167 | .167 | .222 | .389 | |
|
Count 0-2 | 28 | 3 | 1 | 1 | .107 | .138 | .250 | .388 | |
|
Count 0-2 | 59 | 6 | 3 | 4 | .102 | .117 | .271 | .388 |
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.