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 | 47 | 19 | 2 | 6 | .404 | .417 | .596 | 1.012 | |
  |
Count 0-1 | 46 | 20 | 0 | 6 | .435 | .447 | .565 | 1.012 | |
  |
Count 1-0 | 15 | 6 | 1 | 3 | .400 | .412 | .600 | 1.012 | |
  |
Count 0-0 | 69 | 22 | 7 | 13 | .319 | .329 | .681 | 1.010 | |
  |
Count 0-0 | 69 | 24 | 5 | 10 | .348 | .343 | .667 | 1.010 | |
  |
Count 3-2 | 40 | 12 | 2 | 3 | .300 | .509 | .500 | 1.009 | |
|
Count 0-0 | 46 | 19 | 2 | 8 | .413 | .400 | .609 | 1.009 | |
  |
Count 0-1 | 34 | 11 | 2 | 7 | .324 | .361 | .647 | 1.008 | |
|
Count 1-0 | 45 | 14 | 5 | 12 | .311 | .319 | .689 | 1.008 | |
|
Count 3-2 | 28 | 7 | 1 | 2 | .250 | .543 | .464 | 1.008 | |
  |
Count 3-1 | 15 | 4 | 0 | 1 | .267 | .607 | .400 | 1.007 | |
|
Count 0-0 | 117 | 44 | 6 | 20 | .376 | .383 | .624 | 1.007 | |
  |
Count 0-0 | 33 | 12 | 2 | 5 | .364 | .400 | .606 | 1.006 | |
  |
Count 1-0 | 36 | 12 | 3 | 8 | .333 | .395 | .611 | 1.006 | |
|
Count 2-1 | 13 | 6 | 0 | 3 | .462 | .467 | .538 | 1.005 | |
  |
Count 0-1 | 49 | 21 | 1 | 12 | .429 | .434 | .571 | 1.005 | |
  |
Count 2-1 | 38 | 15 | 2 | 4 | .395 | .400 | .605 | 1.005 | |
|
Count 0-0 | 58 | 22 | 3 | 13 | .379 | .383 | .621 | 1.004 | |
  |
Count 0-0 | 47 | 14 | 5 | 11 | .298 | .365 | .638 | 1.004 | |
  |
Count 0-1 | 56 | 21 | 3 | 14 | .375 | .379 | .625 | 1.004 | |
|
Count 0-0 | 17 | 8 | 0 | 1 | .471 | .474 | .529 | 1.003 | |
|
Count 3-2 | 77 | 21 | 2 | 12 | .273 | .509 | .494 | 1.002 | |
|
Count 1-0 | 36 | 17 | 0 | 8 | .472 | .474 | .528 | 1.001 | |
  |
Count 0-1 | 10 | 4 | 0 | 0 | .400 | .400 | .600 | 1.000 | |
|
Count 0-0 | 41 | 17 | 1 | 6 | .415 | .415 | .585 | 1.000 |
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.