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 | 22 | 8 | 1 | 4 | .364 | .364 | .545 | .909 | |
  |
Count 1-0 | 22 | 7 | 2 | 8 | .318 | .318 | .591 | .909 | |
  |
Count 1-0 | 22 | 6 | 2 | 3 | .273 | .273 | .636 | .909 | |
  |
Count 2-1 | 22 | 7 | 1 | 5 | .318 | .318 | .591 | .909 | |
  |
Count 1-1 | 33 | 12 | 1 | 3 | .364 | .364 | .545 | .909 | |
  |
Count 1-0 | 11 | 4 | 0 | 2 | .364 | .364 | .545 | .909 | |
  |
Count 0-0 | 43 | 16 | 1 | 6 | .372 | .372 | .535 | .907 | |
  |
Count 0-1 | 32 | 12 | 1 | 4 | .375 | .375 | .531 | .906 | |
|
Count 2-2 | 85 | 28 | 5 | 9 | .329 | .329 | .576 | .906 | |
  |
Count 0-1 | 66 | 26 | 1 | 7 | .394 | .391 | .515 | .906 | |
  |
Count 0-0 | 27 | 10 | 1 | 4 | .370 | .387 | .519 | .906 | |
  |
Count 3-2 | 20 | 4 | 1 | 2 | .200 | .556 | .350 | .906 | |
  |
Count 0-0 | 59 | 19 | 3 | 8 | .322 | .311 | .593 | .905 | |
|
Count 1-0 | 35 | 11 | 2 | 5 | .314 | .333 | .571 | .905 | |
  |
Count 3-2 | 61 | 10 | 3 | 8 | .164 | .543 | .361 | .904 | |
|
Count 0-1 | 34 | 10 | 2 | 6 | .294 | .314 | .588 | .903 | |
  |
Count 0-0 | 51 | 17 | 2 | 6 | .333 | .333 | .569 | .902 | |
  |
Count 0-0 | 54 | 15 | 4 | 14 | .278 | .291 | .611 | .902 | |
  |
Count 1-0 | 51 | 19 | 1 | 5 | .373 | .373 | .529 | .902 | |
  |
Count 2-1 | 43 | 12 | 4 | 11 | .279 | .273 | .628 | .901 | |
|
Count 1-1 | 36 | 11 | 3 | 11 | .306 | .289 | .611 | .901 | |
  |
Count 2-1 | 14 | 6 | 0 | 4 | .429 | .400 | .500 | .900 | |
|
Count 1-0 | 20 | 7 | 0 | 3 | .350 | .350 | .550 | .900 | |
  |
Count 1-1 | 20 | 7 | 1 | 3 | .350 | .350 | .550 | .900 | |
|
Count 2-1 | 10 | 3 | 1 | 2 | .300 | .300 | .600 | .900 |
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.