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MLB Batting Splits 2025

Performance splits by handedness, home/away, and situational categories.

Batting splits break down a hitter's performance across different game situations. Platoon splits (vs LHP/RHP) are the most predictive for DFS and prop betting. Minimum 10 at-bats displayed.
Lawrence Butler headshot
Count 2-1
1.125 OPS
AVG .438
OBP .438
SLG .688
HR 1
AB 32
H 14
RBI 7
Joey Bart headshot
Count 2-1
1.125 OPS
AVG .438
OBP .438
SLG .688
HR 1
AB 16
H 7
RBI 2
Isaac Paredes headshot
Count 2-1
1.125 OPS
AVG .458
OBP .458
SLG .667
HR 1
AB 24
H 11
RBI 8
Pete Alonso headshot
Count 0-1
1.121 OPS
AVG .413
OBP .426
SLG .696
HR 3
AB 46
H 19
RBI 15
Parker Meadows headshot
Count 0-0
1.120 OPS
AVG .400
OBP .400
SLG .720
HR 2
AB 25
H 10
RBI 8
Vinnie Pasquantino headshot
Count 2-0
1.119 OPS
AVG .286
OBP .333
SLG .786
HR 2
AB 14
H 4
RBI 4
Kyle Manzardo headshot
Count 2-1
1.118 OPS
AVG .353
OBP .353
SLG .765
HR 2
AB 17
H 6
RBI 3
Zach McKinstry headshot
Count 1-1
1.118 OPS
AVG .324
OBP .324
SLG .794
HR 3
AB 34
H 11
RBI 3
Ben Rice headshot
Count 1-1
1.118 OPS
AVG .409
OBP .413
SLG .705
HR 3
AB 44
H 18
RBI 6
Spencer Steer headshot
Count 3-2
1.117 OPS
AVG .304
OBP .595
SLG .522
HR 2
AB 46
H 14
RBI 11
Josh Naylor headshot
Count 1-0
1.116 OPS
AVG .419
OBP .419
SLG .698
HR 3
AB 43
H 18
RBI 9
Jake Bauers headshot
Count 0-1
1.114 OPS
AVG .357
OBP .400
SLG .714
HR 1
AB 14
H 5
RBI 2
Braxton Fulford headshot
Count 2-2
1.111 OPS
AVG .389
OBP .389
SLG .722
HR 0
AB 18
H 7
RBI 5
Ryan Ritter headshot
Count 3-2
1.111 OPS
AVG .333
OBP .556
SLG .556
HR 0
AB 18
H 6
RBI 4
Daylen Lile headshot
Count 0-0
1.111 OPS
AVG .415
OBP .429
SLG .683
HR 1
AB 41
H 17
RBI 9
Brent Rooker headshot
Count 1-0
1.111 OPS
AVG .415
OBP .429
SLG .683
HR 2
AB 41
H 17
RBI 10
Keibert Ruiz headshot
Count 2-1
1.111 OPS
AVG .500
OBP .500
SLG .611
HR 0
AB 18
H 9
RBI 4
Jake Cronenworth headshot
Count 1-0
1.110 OPS
AVG .286
OBP .348
SLG .762
HR 3
AB 21
H 6
RBI 5
Mike Trout headshot
Count 0-0
1.109 OPS
AVG .400
OBP .409
SLG .700
HR 1
AB 20
H 8
RBI 4
Jacob Wilson headshot
Count 2-1
1.107 OPS
AVG .393
OBP .393
SLG .714
HR 2
AB 28
H 11
RBI 5
Jordan Beck headshot
Count 0-1
1.105 OPS
AVG .408
OBP .431
SLG .673
HR 3
AB 49
H 20
RBI 5
Bobby Witt headshot
Count 2-0
1.105 OPS
AVG .421
OBP .421
SLG .684
HR 1
AB 19
H 8
RBI 2
Jonathan India headshot
Count 1-1
1.104 OPS
AVG .409
OBP .422
SLG .682
HR 2
AB 44
H 18
RBI 8
Harrison Bader headshot
Count 1-1
1.104 OPS
AVG .409
OBP .422
SLG .682
HR 3
AB 44
H 18
RBI 8
Aaron Judge headshot
Count 3-2
1.103 OPS
AVG .240
OBP .543
SLG .560
HR 7
AB 75
H 18
RBI 12
Christian Yelich headshot
Count 0-0
1.103 OPS
AVG .441
OBP .441
SLG .662
HR 4
AB 68
H 30
RBI 21
Cedric Mullins headshot
Count 1-0
1.103 OPS
AVG .345
OBP .345
SLG .759
HR 3
AB 29
H 10
RBI 6
Brendan Donovan headshot
Count 3-2
1.103 OPS
AVG .366
OBP .567
SLG .537
HR 1
AB 41
H 15
RBI 5
Jose Ramirez headshot
Count 2-1
1.103 OPS
AVG .400
OBP .389
SLG .714
HR 3
AB 35
H 14
RBI 10
Jeremy Pena headshot
Count 0-1
1.102 OPS
AVG .433
OBP .435
SLG .667
HR 3
AB 60
H 26
RBI 12
Jonathan Aranda headshot
Count 0-0
1.102 OPS
AVG .436
OBP .466
SLG .636
HR 2
AB 55
H 24
RBI 6
Dylan Beavers headshot
Count 3-2
1.102 OPS
AVG .263
OBP .576
SLG .526
HR 1
AB 19
H 5
RBI 3
Jazz Chisholm headshot
Count 0-0
1.101 OPS
AVG .345
OBP .356
SLG .745
HR 7
AB 55
H 19
RBI 13
Tyler Heineman headshot
Count 2-1
1.100 OPS
AVG .400
OBP .400
SLG .700
HR 1
AB 10
H 4
RBI 3
Maikel Garcia headshot
Count 2-0
1.100 OPS
AVG .450
OBP .450
SLG .650
HR 1
AB 20
H 9
RBI 4
Daniel Schneemann headshot
Count 2-1
1.100 OPS
AVG .385
OBP .407
SLG .692
HR 1
AB 26
H 10
RBI 6
CJ Kayfus headshot
Count 1-1
1.100 OPS
AVG .400
OBP .400
SLG .700
HR 0
AB 10
H 4
RBI 0
Spencer Torkelson headshot
Count 2-0
1.100 OPS
AVG .400
OBP .400
SLG .700
HR 1
AB 20
H 8
RBI 2
Taylor Ward headshot
Count 0-1
1.100 OPS
AVG .375
OBP .375
SLG .725
HR 4
AB 40
H 15
RBI 11
Trey Sweeney headshot
Count 1-0
1.100 OPS
AVG .350
OBP .350
SLG .750
HR 2
AB 20
H 7
RBI 7
Coby Mayo headshot
Count 1-1
1.100 OPS
AVG .400
OBP .400
SLG .700
HR 1
AB 20
H 8
RBI 2
Gunnar Henderson headshot
Count 2-1
1.098 OPS
AVG .378
OBP .368
SLG .730
HR 3
AB 37
H 14
RBI 5
Nathan Lukes headshot
Count 3-2
1.097 OPS
AVG .303
OBP .521
SLG .576
HR 2
AB 33
H 10
RBI 13
Kyle Karros headshot
Count 0-0
1.096 OPS
AVG .500
OBP .471
SLG .625
HR 0
AB 16
H 8
RBI 1
Lawrence Butler headshot
Count 0-0
1.096 OPS
AVG .397
OBP .397
SLG .699
HR 6
AB 73
H 29
RBI 15
Manny Machado headshot
Count 3-1
1.096 OPS
AVG .300
OBP .696
SLG .400
HR 0
AB 10
H 3
RBI 1
Jose Caballero headshot
Count 0-1
1.095 OPS
AVG .407
OBP .429
SLG .667
HR 1
AB 27
H 11
RBI 8
Brent Rooker headshot
Count 2-1
1.094 OPS
AVG .375
OBP .375
SLG .719
HR 3
AB 32
H 12
RBI 9
Taylor Ward headshot
Count 2-1
1.094 OPS
AVG .375
OBP .375
SLG .719
HR 2
AB 32
H 12
RBI 8
Brenton Doyle headshot
Count 1-1
1.091 OPS
AVG .400
OBP .400
SLG .691
HR 3
AB 55
H 22
RBI 9

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.

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.
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