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 2-1 | 19 | 7 | 1 | 2 | .368 | .368 | .632 | 1.000 | |
  |
Count 1-0 | 11 | 5 | 0 | 1 | .455 | .455 | .545 | 1.000 | |
|
Count 0-1 | 12 | 6 | 0 | 0 | .500 | .500 | .500 | 1.000 | |
|
Count 2-0 | 10 | 5 | 0 | 0 | .500 | .500 | .500 | 1.000 | |
  |
Count 1-1 | 23 | 6 | 3 | 3 | .261 | .261 | .739 | 1.000 | |
  |
Count 2-1 | 12 | 6 | 0 | 2 | .500 | .500 | .500 | 1.000 | |
  |
Count 2-1 | 14 | 4 | 2 | 2 | .286 | .286 | .714 | 1.000 | |
  |
Count 0-1 | 50 | 16 | 5 | 11 | .320 | .358 | .640 | .998 | |
  |
Count 3-2 | 53 | 12 | 4 | 8 | .226 | .468 | .528 | .996 | |
|
Count 3-1 | 10 | 3 | 0 | 1 | .300 | .696 | .300 | .996 | |
  |
Count 2-1 | 26 | 10 | 2 | 8 | .385 | .379 | .615 | .995 | |
|
Count 0-1 | 19 | 6 | 2 | 5 | .316 | .364 | .632 | .995 | |
  |
Count 0-0 | 31 | 11 | 1 | 5 | .355 | .382 | .613 | .995 | |
  |
Count 1-0 | 48 | 16 | 4 | 12 | .333 | .327 | .667 | .993 | |
  |
Count 3-2 | 11 | 5 | 0 | 2 | .455 | .538 | .455 | .993 | |
|
Count 3-2 | 40 | 13 | 1 | 4 | .325 | .518 | .475 | .993 | |
|
Count 0-1 | 44 | 15 | 4 | 9 | .341 | .356 | .636 | .992 | |
|
Count 0-1 | 50 | 20 | 2 | 9 | .400 | .392 | .600 | .992 | |
  |
Count 0-0 | 58 | 19 | 4 | 9 | .328 | .371 | .621 | .992 | |
  |
Count 0-1 | 44 | 17 | 3 | 10 | .386 | .400 | .591 | .991 | |
  |
Count 0-1 | 34 | 11 | 3 | 8 | .324 | .343 | .647 | .990 | |
  |
Count 1-1 | 39 | 15 | 2 | 10 | .385 | .400 | .590 | .990 | |
  |
Count 0-1 | 85 | 36 | 1 | 10 | .424 | .425 | .565 | .990 | |
  |
Count 2-1 | 29 | 10 | 2 | 6 | .345 | .333 | .655 | .989 | |
|
Count 0-0 | 35 | 13 | 1 | 2 | .371 | .389 | .600 | .989 |
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.