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.

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.

Season:

All Away Day Home Night vs. Left vs. Right

Player	AB	H	HR	RBI	AVG	OBP	SLG	OPS ▼
Gavin Lux	390	110	5	47	.282	.361	.400	.761
Miguel Andujar	231	67	6	33	.290	.331	.429	.759
Oneil Cruz	363	83	19	53	.229	.320	.438	.758
Rhys Hoskins	193	47	8	29	.244	.336	.420	.756
Jeff McNeil	310	76	11	45	.245	.330	.426	.755
Starling Marte	160	44	5	22	.275	.343	.413	.755
Josh Smith	388	102	10	29	.263	.350	.405	.755
Wyatt Langford	355	84	17	51	.237	.325	.428	.753
Jake Cronenworth	286	70	8	40	.245	.364	.388	.752
Willy Adames	432	101	20	66	.234	.333	.419	.752
Luis Arraez	437	133	4	43	.304	.341	.410	.751
Spencer Torkelson	404	93	21	51	.230	.318	.433	.751
Tyler Tolbert	19	7	0	3	.368	.381	.368	.749
Zach McKinstry	344	85	11	34	.247	.330	.416	.746
Nolan Schanuel	382	100	10	41	.262	.350	.395	.745
Lawrence Butler	452	111	17	55	.246	.325	.420	.745
JO Adell	432	98	30	80	.227	.281	.463	.744
JP Crawford	387	108	8	38	.279	.361	.382	.743
Cody Bellinger	435	106	21	62	.244	.304	.437	.741
Rece Hinds	24	5	2	3	.208	.240	.500	.740
Jesus Sanchez	382	96	13	44	.251	.318	.421	.739
Ryan McMahon	395	88	18	44	.223	.324	.415	.739
Jake Meyers	276	81	3	19	.293	.360	.377	.737
Jackson Holliday	421	109	13	39	.259	.334	.401	.735
Nathan Lukes	346	89	12	59	.257	.320	.413	.734
Brooks Baldwin	241	60	10	30	.249	.299	.432	.730
Josh Lowe	281	68	10	33	.242	.307	.420	.727
CJ Kayfus	102	23	3	17	.225	.304	.422	.726
Yordan Alvarez	133	34	4	21	.256	.348	.376	.724
Blaine Crim	53	10	4	7	.189	.271	.453	.724
Lenyn Sosa	384	100	17	53	.260	.290	.432	.723
Christian Walker	464	109	23	68	.235	.296	.427	.723
Heliot Ramos	451	116	16	52	.257	.330	.392	.723
Jake Mangum	276	84	2	29	.304	.340	.380	.721
Spencer Steer	391	94	15	56	.240	.317	.404	.721
Jake Fraley	182	44	6	23	.242	.330	.390	.720
Carlos Correa	412	114	8	37	.277	.327	.391	.717
Tyler Freeman	267	74	1	21	.277	.364	.352	.716
Tyler Stephenson	238	54	11	42	.227	.299	.416	.714
Danny Jansen	192	43	9	25	.224	.313	.396	.709
Andrew Benintendi	333	77	14	47	.231	.312	.396	.709
Austin Hays	289	72	13	47	.249	.286	.422	.708
Will Benson	213	50	10	37	.235	.276	.432	.708
Miguel Vargas	366	82	14	49	.224	.313	.393	.707
BO Naylor	283	57	12	42	.201	.294	.410	.703
Jackson Chourio	412	101	14	49	.245	.280	.422	.703
Austin Wells	276	58	15	43	.210	.271	.431	.702
Jordan Beck	412	102	11	39	.248	.309	.393	.702
Bryan Reynolds	439	106	10	56	.241	.312	.390	.702
Nick Fortes	113	27	4	11	.239	.312	.389	.701

Sort by: OPS ▼ AVG SLG OBP AB HR

Gavin Lux

.761 OPS

AVG .282

OBP .361

SLG .400

HR 5

AB 390

H 110

RBI 47

Miguel Andujar

.759 OPS

AVG .290

OBP .331

SLG .429

HR 6

AB 231

H 67

RBI 33

Oneil Cruz

.758 OPS

AVG .229

OBP .320

SLG .438

HR 19

AB 363

H 83

RBI 53

Rhys Hoskins

.756 OPS

AVG .244

OBP .336

SLG .420

HR 8

AB 193

H 47

RBI 29

Jeff McNeil

.755 OPS

AVG .245

OBP .330

SLG .426

HR 11

AB 310

H 76

RBI 45

Starling Marte

.755 OPS

AVG .275

OBP .343

SLG .413

HR 5

AB 160

H 44

RBI 22

Josh Smith

.755 OPS

AVG .263

OBP .350

SLG .405

HR 10

AB 388

H 102

RBI 29

Wyatt Langford

.753 OPS

AVG .237

OBP .325

SLG .428

HR 17

AB 355

H 84

RBI 51

Jake Cronenworth

.752 OPS

AVG .245

OBP .364

SLG .388

HR 8

AB 286

H 70

RBI 40

Willy Adames

.752 OPS

AVG .234

OBP .333

SLG .419

HR 20

AB 432

H 101

RBI 66

Luis Arraez

.751 OPS

AVG .304

OBP .341

SLG .410

HR 4

AB 437

H 133

RBI 43

Spencer Torkelson

.751 OPS

AVG .230

OBP .318

SLG .433

HR 21

AB 404

H 93

RBI 51

Tyler Tolbert

.749 OPS

AVG .368

OBP .381

SLG .368

HR 0

AB 19

H 7

RBI 3

Zach McKinstry

.746 OPS

AVG .247

OBP .330

SLG .416

HR 11

AB 344

H 85

RBI 34

Nolan Schanuel

.745 OPS

AVG .262

OBP .350

SLG .395

HR 10

AB 382

H 100

RBI 41

Lawrence Butler

.745 OPS

AVG .246

OBP .325

SLG .420

HR 17

AB 452

H 111

RBI 55

JO Adell

.744 OPS

AVG .227

OBP .281

SLG .463

HR 30

AB 432

H 98

RBI 80

JP Crawford

.743 OPS

AVG .279

OBP .361

SLG .382

HR 8

AB 387

H 108

RBI 38

Cody Bellinger

.741 OPS

AVG .244

OBP .304

SLG .437

HR 21

AB 435

H 106

RBI 62

Rece Hinds

.740 OPS

AVG .208

OBP .240

SLG .500

HR 2

AB 24

H 5

RBI 3

Jesus Sanchez

.739 OPS

AVG .251

OBP .318

SLG .421

HR 13

AB 382

H 96

RBI 44

Ryan McMahon

.739 OPS

AVG .223

OBP .324

SLG .415

HR 18

AB 395

H 88

RBI 44

Jake Meyers

.737 OPS

AVG .293

OBP .360

SLG .377

HR 3

AB 276

H 81

RBI 19

Jackson Holliday

.735 OPS

AVG .259

OBP .334

SLG .401

HR 13

AB 421

H 109

RBI 39

Nathan Lukes

.734 OPS

AVG .257

OBP .320

SLG .413

HR 12

AB 346

H 89

RBI 59

Brooks Baldwin

.730 OPS

AVG .249

OBP .299

SLG .432

HR 10

AB 241

H 60

RBI 30

Josh Lowe

.727 OPS

AVG .242

OBP .307

SLG .420

HR 10

AB 281

H 68

RBI 33

CJ Kayfus

.726 OPS

AVG .225

OBP .304

SLG .422

HR 3

AB 102

H 23

RBI 17

Yordan Alvarez

.724 OPS

AVG .256

OBP .348

SLG .376

HR 4

AB 133

H 34

RBI 21

Blaine Crim

.724 OPS

AVG .189

OBP .271

SLG .453

HR 4

AB 53

H 10

RBI 7

Lenyn Sosa

.723 OPS

AVG .260

OBP .290

SLG .432

HR 17

AB 384

H 100

RBI 53

Christian Walker

.723 OPS

AVG .235

OBP .296

SLG .427

HR 23

AB 464

H 109

RBI 68

Heliot Ramos

.723 OPS

AVG .257

OBP .330

SLG .392

HR 16

AB 451

H 116

RBI 52

Jake Mangum

.721 OPS

AVG .304

OBP .340

SLG .380

HR 2

AB 276

H 84

RBI 29

Spencer Steer

.721 OPS

AVG .240

OBP .317

SLG .404

HR 15

AB 391

H 94

RBI 56

Jake Fraley

.720 OPS

AVG .242

OBP .330

SLG .390

HR 6

AB 182

H 44

RBI 23

Carlos Correa

.717 OPS

AVG .277

OBP .327

SLG .391

HR 8

AB 412

H 114

RBI 37

Tyler Freeman

.716 OPS

AVG .277

OBP .364

SLG .352

HR 1

AB 267

H 74

RBI 21

Tyler Stephenson

.714 OPS

AVG .227

OBP .299

SLG .416

HR 11

AB 238

H 54

RBI 42

Danny Jansen

.709 OPS

AVG .224

OBP .313

SLG .396

HR 9

AB 192

H 43

RBI 25

Andrew Benintendi

.709 OPS

AVG .231

OBP .312

SLG .396

HR 14

AB 333

H 77

RBI 47

Austin Hays

.708 OPS

AVG .249

OBP .286

SLG .422

HR 13

AB 289

H 72

RBI 47

Will Benson

.708 OPS

AVG .235

OBP .276

SLG .432

HR 10

AB 213

H 50

RBI 37

Miguel Vargas

.707 OPS

AVG .224

OBP .313

SLG .393

HR 14

AB 366

H 82

RBI 49

BO Naylor

.703 OPS

AVG .201

OBP .294

SLG .410

HR 12

AB 283

H 57

RBI 42

Jackson Chourio

.703 OPS

AVG .245

OBP .280

SLG .422

HR 14

AB 412

H 101

RBI 49

Austin Wells

.702 OPS

AVG .210

OBP .271

SLG .431

HR 15

AB 276

H 58

RBI 43

Jordan Beck

.702 OPS

AVG .248

OBP .309

SLG .393

HR 11

AB 412

H 102

RBI 39

Bryan Reynolds

.702 OPS

AVG .241

OBP .312

SLG .390

HR 10

AB 439

H 106

RBI 56

Nick Fortes

.701 OPS

AVG .239

OBP .312

SLG .389

HR 4

AB 113

H 27

RBI 11

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.

MLB Batting Splits 2025

Understanding Platoon Splits

The Platoon Advantage

Switch Hitters & Exceptions

Props & DFS Application

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Batter vs Pitcher Matchups

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