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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.
.859 OPS
AVG .299
OBP .380
SLG .478
HR 7
AB 184
H 55
RBI 25
Andrew Vaughn headshot
vs. Left
.859 OPS
AVG .313
OBP .389
SLG .470
HR 3
AB 115
H 36
RBI 23
Jeremy Pena headshot
vs. Right
.858 OPS
AVG .311
OBP .368
SLG .490
HR 13
AB 396
H 123
RBI 48
.858 OPS
AVG .300
OBP .438
SLG .420
HR 1
AB 50
H 15
RBI 10
.858 OPS
AVG .316
OBP .384
SLG .474
HR 7
AB 272
H 86
RBI 35
Brice Matthews headshot
vs. Right
.858 OPS
AVG .219
OBP .265
SLG .594
HR 4
AB 32
H 7
RBI 9
Pete Alonso headshot
Night
.857 OPS
AVG .270
OBP .336
SLG .522
HR 25
AB 393
H 106
RBI 79
Mickey Moniak headshot
vs. Right
.857 OPS
AVG .276
OBP .309
SLG .547
HR 23
AB 380
H 105
RBI 62
Vinnie Pasquantino headshot
vs. Right
.856 OPS
AVG .281
OBP .346
SLG .511
HR 26
AB 470
H 132
RBI 80
Joey Bart headshot
Home
.856 OPS
AVG .317
OBP .412
SLG .444
HR 3
AB 142
H 45
RBI 19
.856 OPS
AVG .265
OBP .326
SLG .530
HR 4
AB 83
H 22
RBI 10
.856 OPS
AVG .268
OBP .349
SLG .507
HR 22
AB 339
H 91
RBI 79
.855 OPS
AVG .257
OBP .340
SLG .515
HR 8
AB 136
H 35
RBI 20
.855 OPS
AVG .345
OBP .406
SLG .448
HR 0
AB 29
H 10
RBI 1
CJ Abrams headshot
Night
.855 OPS
AVG .294
OBP .361
SLG .494
HR 11
AB 326
H 96
RBI 38
.854 OPS
AVG .313
OBP .391
SLG .463
HR 8
AB 259
H 81
RBI 39
Ben Rice headshot
Home
.854 OPS
AVG .250
OBP .336
SLG .518
HR 14
AB 224
H 56
RBI 27
Zach McKinstry headshot
vs. Left
.854 OPS
AVG .296
OBP .345
SLG .509
HR 1
AB 108
H 32
RBI 15
.853 OPS
AVG .250
OBP .400
SLG .453
HR 2
AB 64
H 16
RBI 8
Brendan Donovan headshot
vs. Right
.853 OPS
AVG .315
OBP .383
SLG .471
HR 8
AB 308
H 97
RBI 37
.852 OPS
AVG .243
OBP .309
SLG .543
HR 14
AB 173
H 42
RBI 39
Edgar Quero headshot
vs. Left
.852 OPS
AVG .357
OBP .394
SLG .457
HR 1
AB 129
H 46
RBI 14
Kyle Teel headshot
Night
.852 OPS
AVG .277
OBP .400
SLG .452
HR 7
AB 166
H 46
RBI 23
.851 OPS
AVG .272
OBP .308
SLG .544
HR 16
AB 217
H 59
RBI 38
.851 OPS
AVG .239
OBP .287
SLG .564
HR 11
AB 117
H 28
RBI 27
.850 OPS
AVG .325
OBP .347
SLG .503
HR 7
AB 163
H 53
RBI 24
.849 OPS
AVG .276
OBP .286
SLG .563
HR 6
AB 87
H 24
RBI 16
Ramon Laureano headshot
vs. Right
.849 OPS
AVG .281
OBP .340
SLG .508
HR 15
AB 299
H 84
RBI 52
Jose Ramirez headshot
vs. Right
.849 OPS
AVG .267
OBP .350
SLG .499
HR 24
AB 419
H 112
RBI 59
.848 OPS
AVG .300
OBP .348
SLG .500
HR 1
AB 20
H 6
RBI 5
.848 OPS
AVG .292
OBP .390
SLG .458
HR 2
AB 48
H 14
RBI 10
Elly DE LA Cruz headshot
vs. Right
.848 OPS
AVG .277
OBP .362
SLG .486
HR 17
AB 430
H 119
RBI 60
.847 OPS
AVG .271
OBP .351
SLG .496
HR 6
AB 133
H 36
RBI 18
.846 OPS
AVG .288
OBP .337
SLG .509
HR 9
AB 163
H 47
RBI 26
.846 OPS
AVG .258
OBP .317
SLG .528
HR 21
AB 299
H 77
RBI 51
Tyler Soderstrom headshot
vs. Right
.846 OPS
AVG .278
OBP .356
SLG .491
HR 20
AB 424
H 118
RBI 73
.845 OPS
AVG .279
OBP .352
SLG .493
HR 9
AB 201
H 56
RBI 41
Harrison Bader headshot
vs. Right
.845 OPS
AVG .300
OBP .369
SLG .476
HR 11
AB 307
H 92
RBI 38
Fernando Tatis headshot
vs. Right
.845 OPS
AVG .281
OBP .372
SLG .474
HR 20
AB 441
H 124
RBI 59
Jonny Deluca headshot
Night
.844 OPS
AVG .344
OBP .344
SLG .500
HR 0
AB 32
H 11
RBI 2
Bobby Witt headshot
vs. Right
.844 OPS
AVG .287
OBP .340
SLG .504
HR 22
AB 492
H 141
RBI 76
Jackson Merrill headshot
vs. Right
.844 OPS
AVG .279
OBP .339
SLG .505
HR 14
AB 283
H 79
RBI 48
George Valera headshot
vs. Right
.844 OPS
AVG .250
OBP .372
SLG .472
HR 2
AB 36
H 9
RBI 5
Jazz Chisholm headshot
vs. Right
.843 OPS
AVG .240
OBP .336
SLG .508
HR 25
AB 333
H 80
RBI 61
Josh Naylor headshot
vs. Right
.843 OPS
AVG .298
OBP .368
SLG .475
HR 14
AB 362
H 108
RBI 63
.843 OPS
AVG .306
OBP .341
SLG .502
HR 10
AB 255
H 78
RBI 42
.843 OPS
AVG .260
OBP .313
SLG .530
HR 29
AB 385
H 100
RBI 72
.842 OPS
AVG .261
OBP .370
SLG .472
HR 10
AB 180
H 47
RBI 20
.842 OPS
AVG .322
OBP .369
SLG .473
HR 6
AB 258
H 83
RBI 23
Bobby Witt headshot
Home
.842 OPS
AVG .286
OBP .342
SLG .500
HR 11
AB 304
H 87
RBI 39

Understanding Platoon Splits

Platoon splits — performance vs left-handed pitchers (LHP) and right-handed pitchers (RHP) — are the single most predictive and actionable batting split. Most hitters have a significant platoon gap, performing better against opposite-hand pitchers.

The Platoon Advantage

Right-handed hitters typically hit 30-50 OPS points better against LHP, and vice versa. The platoon advantage exists because same-hand pitcher-batter matchups create a more difficult pitch angle and make breaking balls move away from the hitter. This is the most stable, repeatable split in baseball.

Switch Hitters & Exceptions

Switch hitters aim to always have the platoon advantage by batting from both sides. However, many switch hitters are significantly better from one side. Some pure hitters (like elite LHH who crush lefties) defy platoon norms entirely — always check the data rather than assuming.

Props & DFS Application

Platoon splits are the #1 factor for daily fantasy and prop betting. Always check the opposing starter's handedness, then look at each hitter's platoon split. A .280 overall hitter who hits .320 vs LHP is a strong play when a lefty is on the mound — the line is set off his overall average, not his split.

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 is the platoon advantage in baseball?
The platoon advantage means hitters perform better against opposite-hand pitchers. Right-handed hitters (RHH) tend to hit better against left-handed pitchers (LHP), and left-handed hitters (LHH) hit better against right-handed pitchers (RHP). The typical platoon gap is 30-50 OPS points, making it the most reliable and predictive split in baseball.
How important are platoon splits for DFS?
Platoon splits are the single most important split for DFS. Always check the opposing starter's handedness before building lineups. Stack right-handed hitters against left-handed starters (and vice versa) for the strongest correlation. The platoon edge is especially large for power stats like HR and SLG.
Are platoon splits reliable with small sample sizes?
Yes — platoon splits are the most stable split category even with relatively small samples. Because the platoon advantage is driven by physics (pitch angle, breaking ball movement), it tends to persist even in 50-100 at-bat samples. This makes platoon splits usable earlier in the season than other split types.
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