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 1-2 | 26 | 4 | 1 | 1 | .154 | .154 | .346 | .500 | |
  |
Count 2-2 | 93 | 17 | 3 | 12 | .183 | .177 | .323 | .500 | |
  |
Count 1-2 | 52 | 8 | 3 | 6 | .154 | .154 | .346 | .500 | |
  |
Count 0-0 | 18 | 4 | 0 | 2 | .222 | .222 | .278 | .500 | |
|
Count 1-2 | 38 | 8 | 0 | 3 | .211 | .211 | .289 | .500 | |
  |
Count 0-1 | 22 | 4 | 1 | 1 | .182 | .182 | .318 | .500 | |
  |
Count 2-2 | 24 | 3 | 2 | 3 | .125 | .125 | .375 | .500 | |
|
Count 1-0 | 10 | 1 | 1 | 1 | .100 | .100 | .400 | .500 | |
  |
Count 0-2 | 24 | 4 | 1 | 2 | .167 | .167 | .333 | .500 | |
|
Count 2-2 | 34 | 8 | 0 | 1 | .235 | .235 | .265 | .500 | |
  |
Count 2-1 | 14 | 2 | 1 | 2 | .143 | .143 | .357 | .500 | |
  |
Count 1-2 | 12 | 2 | 0 | 0 | .167 | .167 | .333 | .500 | |
  |
Count 1-0 | 10 | 1 | 1 | 2 | .100 | .100 | .400 | .500 | |
  |
Count 0-0 | 22 | 5 | 0 | 0 | .227 | .227 | .273 | .500 | |
  |
Count 2-1 | 14 | 3 | 0 | 1 | .214 | .214 | .286 | .500 | |
  |
Count 1-2 | 50 | 9 | 2 | 5 | .180 | .180 | .320 | .500 | |
|
Count 0-2 | 52 | 10 | 1 | 4 | .192 | .192 | .308 | .500 | |
|
Count 0-1 | 12 | 3 | 0 | 0 | .250 | .250 | .250 | .500 | |
  |
Count 0-2 | 21 | 4 | 0 | 1 | .190 | .261 | .238 | .499 | |
|
Count 2-2 | 90 | 20 | 0 | 2 | .222 | .220 | .278 | .498 | |
|
Count 2-2 | 98 | 23 | 0 | 5 | .235 | .242 | .255 | .498 | |
|
Count 0-0 | 17 | 4 | 0 | 3 | .235 | .263 | .235 | .498 | |
  |
Count 2-2 | 78 | 16 | 0 | 3 | .205 | .215 | .282 | .497 | |
|
Count 0-2 | 40 | 6 | 2 | 8 | .150 | .146 | .350 | .496 | |
  |
Count 2-2 | 35 | 5 | 1 | 4 | .143 | .211 | .286 | .496 |
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.
Related MLB Tools
MLB Park Factors
Stadium effects on hitting and pitching
Batter vs Pitcher Matchups
Head-to-head historical batting stats
MLB Player Props Today
Today's best prop bets with projections
Hits Props
MLB hits prop lines and projections
DraftKings MLB Optimizer
Build optimized MLB DFS lineups
MLB DFS Stacks
Top hitter stacks for today's slate
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.