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 | 21 | 8 | 1 | 2 | .381 | .381 | .571 | .952 | |
  |
Count 0-1 | 21 | 9 | 0 | 2 | .429 | .429 | .524 | .952 | |
  |
Count 3-2 | 88 | 22 | 3 | 7 | .250 | .496 | .455 | .951 | |
  |
Count 3-2 | 27 | 6 | 1 | 2 | .222 | .580 | .370 | .950 | |
  |
Count 0-1 | 47 | 16 | 3 | 15 | .340 | .354 | .596 | .950 | |
  |
Count 0-0 | 73 | 23 | 6 | 9 | .315 | .333 | .616 | .950 | |
  |
Count 0-0 | 46 | 15 | 4 | 16 | .326 | .319 | .630 | .950 | |
  |
Count 2-1 | 20 | 6 | 2 | 4 | .300 | .300 | .650 | .950 | |
  |
Count 0-1 | 47 | 17 | 3 | 9 | .362 | .353 | .596 | .949 | |
  |
Count 0-0 | 24 | 8 | 1 | 6 | .333 | .407 | .542 | .949 | |
  |
Count 0-0 | 58 | 19 | 5 | 23 | .328 | .311 | .638 | .949 | |
  |
Count 2-0 | 13 | 4 | 1 | 7 | .308 | .333 | .615 | .949 | |
  |
Count 1-0 | 52 | 18 | 2 | 9 | .346 | .352 | .596 | .948 | |
|
Count 0-1 | 52 | 18 | 3 | 11 | .346 | .352 | .596 | .948 | |
  |
Count 0-0 | 84 | 31 | 5 | 13 | .369 | .365 | .583 | .948 | |
|
Count 1-1 | 45 | 15 | 1 | 4 | .333 | .348 | .600 | .948 | |
  |
Count 0-1 | 51 | 19 | 2 | 7 | .373 | .358 | .588 | .947 | |
  |
Count 1-1 | 19 | 6 | 1 | 6 | .316 | .316 | .632 | .947 | |
|
Count 2-2 | 43 | 12 | 5 | 10 | .279 | .295 | .651 | .947 | |
|
Count 1-1 | 19 | 7 | 1 | 3 | .368 | .368 | .579 | .947 | |
|
Count 1-1 | 33 | 11 | 2 | 5 | .333 | .371 | .576 | .947 | |
|
Count 1-1 | 19 | 6 | 2 | 3 | .316 | .316 | .632 | .947 | |
|
Count 3-2 | 14 | 4 | 1 | 3 | .286 | .375 | .571 | .946 | |
|
Count 3-2 | 51 | 9 | 4 | 10 | .176 | .494 | .451 | .945 | |
  |
Count 0-0 | 65 | 25 | 3 | 11 | .385 | .391 | .554 | .945 |
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.