MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Count 3-1 | 21 | 13 | 4 | 9 | .619 | .784 | 1.429 | 2.212 | |
  |
Count 3-1 | 10 | 7 | 2 | 5 | .700 | .864 | 1.300 | 2.164 | |
 |
Count 3-1 | 11 | 6 | 3 | 6 | .545 | .792 | 1.364 | 2.155 | |
  |
Count 2-0 | 17 | 12 | 3 | 6 | .706 | .706 | 1.412 | 2.118 | |
 |
Count 3-1 | 18 | 12 | 2 | 4 | .667 | .872 | 1.222 | 2.095 | |
|
Count 2-0 | 11 | 8 | 1 | 9 | .727 | .727 | 1.364 | 2.091 | |
 |
Count 0-1 | 13 | 8 | 3 | 11 | .615 | .615 | 1.462 | 2.077 | |
|
Count 3-1 | 11 | 6 | 3 | 7 | .545 | .667 | 1.364 | 2.030 | |
 |
Count 2-0 | 14 | 8 | 3 | 4 | .571 | .571 | 1.429 | 2.000 | |
|
Count 2-0 | 12 | 9 | 1 | 3 | .750 | .750 | 1.250 | 2.000 | |
 |
Count 3-1 | 10 | 6 | 2 | 5 | .600 | .800 | 1.200 | 2.000 | |
 |
Count 3-1 | 14 | 7 | 3 | 5 | .500 | .767 | 1.214 | 1.981 | |
 |
Count 3-1 | 10 | 5 | 2 | 3 | .500 | .762 | 1.200 | 1.962 | |
|
Count 2-0 | 14 | 8 | 4 | 8 | .571 | .533 | 1.429 | 1.962 | |
 |
Count 3-1 | 10 | 7 | 1 | 6 | .700 | .857 | 1.100 | 1.957 | |
|
Count 3-1 | 10 | 5 | 2 | 2 | .500 | .750 | 1.200 | 1.950 | |
|
Count 0-0 | 15 | 7 | 5 | 7 | .467 | .467 | 1.467 | 1.933 | |
|
Count 3-1 | 14 | 7 | 2 | 4 | .500 | .781 | 1.143 | 1.924 | |
|
Count 0-0 | 11 | 5 | 3 | 5 | .455 | .455 | 1.455 | 1.909 | |
|
Count 3-1 | 11 | 6 | 2 | 4 | .545 | .815 | 1.091 | 1.906 | |
|
Count 0-0 | 72 | 41 | 14 | 27 | .569 | .579 | 1.306 | 1.885 | |
 |
Count 0-0 | 18 | 9 | 4 | 8 | .500 | .550 | 1.333 | 1.883 | |
 |
Count 1-0 | 13 | 7 | 3 | 5 | .538 | .571 | 1.308 | 1.879 | |
|
Count 3-1 | 11 | 5 | 2 | 5 | .455 | .696 | 1.182 | 1.877 | |
|
Count 3-1 | 13 | 7 | 2 | 2 | .538 | .860 | 1.000 | 1.860 | |
|
Count 3-1 | 13 | 8 | 2 | 8 | .615 | .773 | 1.077 | 1.850 | |
|
Count 1-0 | 13 | 9 | 1 | 6 | .692 | .692 | 1.154 | 1.846 | |
|
Count 3-1 | 15 | 7 | 2 | 3 | .467 | .795 | 1.000 | 1.795 | |
|
Count 3-1 | 15 | 9 | 1 | 6 | .600 | .793 | 1.000 | 1.793 | |
 |
Count 2-0 | 14 | 8 | 3 | 7 | .571 | .500 | 1.286 | 1.786 | |
|
Count 2-1 | 11 | 7 | 2 | 4 | .636 | .583 | 1.182 | 1.765 | |
|
Count 0-1 | 20 | 12 | 3 | 6 | .600 | .600 | 1.150 | 1.750 | |
 |
Count 1-0 | 28 | 15 | 5 | 10 | .536 | .517 | 1.214 | 1.732 | |
 |
Count 3-1 | 11 | 4 | 2 | 6 | .364 | .821 | .909 | 1.730 | |
 |
Count 1-0 | 45 | 24 | 8 | 18 | .533 | .543 | 1.178 | 1.721 | |
|
Count 3-1 | 12 | 5 | 2 | 4 | .417 | .720 | 1.000 | 1.720 | |
|
Count 1-0 | 36 | 19 | 6 | 16 | .528 | .514 | 1.194 | 1.708 | |
|
Count 0-1 | 13 | 7 | 2 | 4 | .538 | .538 | 1.154 | 1.692 | |
|
Count 0-0 | 13 | 6 | 3 | 4 | .462 | .462 | 1.231 | 1.692 | |
|
Count 2-1 | 18 | 10 | 3 | 10 | .556 | .550 | 1.111 | 1.661 | |
|
Count 1-0 | 20 | 11 | 1 | 7 | .550 | .550 | 1.100 | 1.650 | |
|
Count 2-0 | 11 | 6 | 2 | 4 | .545 | .545 | 1.091 | 1.636 | |
|
Count 0-1 | 11 | 7 | 1 | 1 | .636 | .636 | 1.000 | 1.636 | |
|
Count 2-1 | 30 | 14 | 6 | 10 | .467 | .467 | 1.167 | 1.633 | |
|
Count 2-1 | 16 | 7 | 3 | 8 | .438 | .438 | 1.188 | 1.625 | |
 |
Count 3-1 | 18 | 8 | 2 | 12 | .444 | .677 | .944 | 1.622 | |
|
Count 1-0 | 31 | 15 | 7 | 16 | .484 | .457 | 1.161 | 1.618 | |
|
Count 3-1 | 16 | 7 | 1 | 4 | .438 | .743 | .875 | 1.618 | |
|
Count 1-0 | 33 | 17 | 5 | 8 | .515 | .515 | 1.091 | 1.606 | |
 |
Count 2-1 | 20 | 8 | 5 | 8 | .400 | .455 | 1.150 | 1.605 |
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.