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 | 57 | 26 | 2 | 8 | .456 | .456 | .667 | 1.123 | |
  |
Count 0-0 | 69 | 25 | 7 | 25 | .362 | .384 | .739 | 1.123 | |
  |
Count 0-0 | 50 | 22 | 1 | 12 | .440 | .442 | .680 | 1.122 | |
  |
Count 0-1 | 41 | 18 | 1 | 7 | .439 | .439 | .683 | 1.122 | |
  |
Count 1-1 | 49 | 18 | 5 | 7 | .367 | .367 | .755 | 1.122 | |
  |
Count 1-0 | 41 | 14 | 5 | 7 | .341 | .341 | .780 | 1.122 | |
  |
Count 0-0 | 21 | 9 | 0 | 3 | .429 | .455 | .667 | 1.121 | |
  |
Count 1-0 | 48 | 19 | 4 | 13 | .396 | .392 | .729 | 1.121 | |
  |
Count 0-0 | 88 | 38 | 5 | 13 | .432 | .438 | .682 | 1.120 | |
  |
Count 1-1 | 25 | 11 | 1 | 4 | .440 | .440 | .680 | 1.120 | |
  |
Count 0-1 | 25 | 10 | 1 | 4 | .400 | .400 | .720 | 1.120 | |
|
Count 0-1 | 56 | 20 | 7 | 13 | .357 | .351 | .768 | 1.119 | |
|
Count 2-1 | 17 | 6 | 2 | 5 | .353 | .353 | .765 | 1.118 | |
  |
Count 0-1 | 64 | 28 | 2 | 6 | .438 | .431 | .688 | 1.118 | |
|
Count 0-0 | 49 | 16 | 7 | 13 | .327 | .340 | .776 | 1.116 | |
  |
Count 0-0 | 65 | 31 | 2 | 10 | .477 | .485 | .631 | 1.116 | |
  |
Count 1-1 | 40 | 16 | 4 | 9 | .400 | .390 | .725 | 1.115 | |
|
Count 1-0 | 26 | 12 | 0 | 3 | .462 | .462 | .654 | 1.115 | |
  |
Count 0-0 | 20 | 6 | 2 | 5 | .300 | .364 | .750 | 1.114 | |
  |
Count 2-1 | 23 | 8 | 2 | 5 | .348 | .375 | .739 | 1.114 | |
|
Count 0-1 | 69 | 27 | 6 | 20 | .391 | .403 | .710 | 1.113 | |
  |
Count 0-0 | 71 | 26 | 8 | 18 | .366 | .351 | .761 | 1.112 | |
  |
Count 0-0 | 80 | 30 | 5 | 12 | .375 | .412 | .700 | 1.112 | |
|
Count 1-0 | 18 | 7 | 1 | 5 | .389 | .389 | .722 | 1.111 | |
  |
Count 1-0 | 27 | 9 | 3 | 8 | .333 | .333 | .778 | 1.111 |
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.