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 0-0 | 28 | 8 | 2 | 6 | .286 | .286 | .571 | .857 | |
  |
Count 1-0 | 28 | 9 | 1 | 3 | .321 | .321 | .536 | .857 | |
  |
Count 1-0 | 14 | 5 | 0 | 3 | .357 | .357 | .500 | .857 | |
  |
Count 0-0 | 86 | 26 | 5 | 16 | .302 | .310 | .547 | .857 | |
  |
Count 0-1 | 21 | 7 | 1 | 2 | .333 | .333 | .524 | .857 | |
  |
Count 0-1 | 42 | 11 | 4 | 8 | .262 | .262 | .595 | .857 | |
  |
Count 0-1 | 37 | 12 | 2 | 8 | .324 | .316 | .541 | .856 | |
  |
Count 0-0 | 58 | 19 | 2 | 8 | .328 | .339 | .517 | .856 | |
  |
Count 0-1 | 23 | 8 | 1 | 4 | .348 | .333 | .522 | .855 | |
  |
Count 0-0 | 37 | 13 | 1 | 3 | .351 | .368 | .486 | .855 | |
  |
Count 0-1 | 37 | 13 | 1 | 3 | .351 | .368 | .486 | .855 | |
  |
Count 3-2 | 68 | 13 | 0 | 3 | .191 | .560 | .294 | .854 | |
  |
Count 3-2 | 61 | 12 | 1 | 8 | .197 | .574 | .279 | .853 | |
  |
Count 2-0 | 11 | 4 | 0 | 4 | .364 | .308 | .545 | .853 | |
  |
Count 1-0 | 16 | 5 | 1 | 3 | .313 | .353 | .500 | .853 | |
  |
Count 3-2 | 26 | 6 | 0 | 1 | .231 | .545 | .308 | .853 | |
|
Count 3-2 | 46 | 10 | 1 | 6 | .217 | .526 | .326 | .852 | |
|
Count 3-2 | 60 | 12 | 4 | 10 | .200 | .435 | .417 | .852 | |
  |
Count 0-2 | 52 | 17 | 2 | 7 | .327 | .352 | .500 | .852 | |
  |
Count 0-1 | 45 | 14 | 3 | 8 | .311 | .319 | .533 | .852 | |
|
Count 0-0 | 47 | 14 | 2 | 15 | .298 | .298 | .553 | .851 | |
|
Count 3-2 | 16 | 5 | 0 | 0 | .313 | .476 | .375 | .851 | |
|
Count 0-0 | 98 | 31 | 4 | 13 | .316 | .310 | .541 | .851 | |
|
Count 1-0 | 13 | 5 | 0 | 1 | .385 | .467 | .385 | .851 | |
  |
Count 2-0 | 20 | 7 | 0 | 5 | .350 | .350 | .500 | .850 |
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.