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 ▲
Zach McKinstry	344	85	11	34	.247	.330	.416	.746
Tyler Tolbert	19	7	0	3	.368	.381	.368	.749
Luis Arraez	437	133	4	43	.304	.341	.410	.751
Spencer Torkelson	404	93	21	51	.230	.318	.433	.751
Jake Cronenworth	286	70	8	40	.245	.364	.388	.752
Willy Adames	432	101	20	66	.234	.333	.419	.752
Wyatt Langford	355	84	17	51	.237	.325	.428	.753
Starling Marte	160	44	5	22	.275	.343	.413	.755
Jeff McNeil	310	76	11	45	.245	.330	.426	.755
Josh Smith	388	102	10	29	.263	.350	.405	.755
Rhys Hoskins	193	47	8	29	.244	.336	.420	.756
Oneil Cruz	363	83	19	53	.229	.320	.438	.758
Miguel Andujar	231	67	6	33	.290	.331	.429	.759
Casey Schmitt	205	53	10	32	.259	.317	.444	.761
Gavin Lux	390	110	5	47	.282	.361	.400	.761
Nathaniel Lowe	385	97	16	74	.252	.333	.429	.762
Marcell Ozuna	378	89	18	60	.235	.347	.415	.762
Randy Arozarena	427	101	18	49	.237	.350	.412	.762
Steven Kwan	422	120	11	44	.284	.345	.419	.764
Luis Garcia	393	106	16	57	.270	.305	.458	.764
Taylor Ward	476	105	29	85	.221	.311	.454	.765
Jose Altuve	477	127	19	61	.266	.329	.436	.765
Jasson Dominguez	288	79	9	39	.274	.348	.420	.768
Jake Bauers	168	40	7	25	.238	.358	.411	.769
Brett Harris	46	14	0	4	.304	.377	.391	.769
Maikel Garcia	477	133	13	58	.279	.338	.432	.770
Alejandro Kirk	324	92	11	56	.284	.348	.423	.771
TJ Friedl	406	109	10	40	.268	.378	.394	.772
Christian Encarnacionstrand	97	25	6	19	.258	.288	.485	.773
Brandon Nimmo	403	106	17	62	.263	.327	.447	.773
Jung Hoo Lee	402	111	5	38	.276	.346	.428	.774
William Contreras	415	111	14	59	.267	.354	.422	.776
Salvador Perez	461	112	28	86	.243	.291	.486	.777
Gavin Sheets	351	88	17	53	.251	.324	.453	.777
Sal Frelick	372	105	12	48	.282	.349	.433	.781
Jacob Wilson	376	114	9	53	.303	.351	.431	.781
Evan Carter	171	46	5	24	.269	.349	.433	.782
Jordan Westburg	227	60	12	28	.264	.316	.467	.783
Manny Machado	451	128	15	72	.284	.336	.448	.784
Colt Keith	371	99	13	44	.267	.346	.439	.785
Troy Johnston	104	30	4	13	.288	.345	.442	.787
Addison Barger	377	94	20	66	.249	.308	.480	.788
Kyle Manzardo	384	94	22	56	.245	.326	.464	.789
Jeremiah Jackson	120	34	4	13	.283	.333	.458	.792
Zach Neto	402	106	19	51	.264	.326	.468	.793
Brent Rooker	486	123	25	74	.253	.320	.473	.794
Ryan Ohearn	377	106	14	48	.281	.368	.427	.795
Julio Rodriguez	480	130	22	71	.271	.328	.467	.795
Jahmai Jones	25	7	0	6	.280	.357	.440	.797
Dylan Beavers	90	22	3	10	.244	.387	.411	.798

Sort by: OPS ▲ AVG SLG OBP AB HR

Zach McKinstry

.746 OPS

AVG .247

OBP .330

SLG .416

HR 11

AB 344

H 85

RBI 34

Tyler Tolbert

.749 OPS

AVG .368

OBP .381

SLG .368

HR 0

AB 19

H 7

RBI 3

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

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

Wyatt Langford

.753 OPS

AVG .237

OBP .325

SLG .428

HR 17

AB 355

H 84

RBI 51

Starling Marte

.755 OPS

AVG .275

OBP .343

SLG .413

HR 5

AB 160

H 44

RBI 22

Jeff McNeil

.755 OPS

AVG .245

OBP .330

SLG .426

HR 11

AB 310

H 76

RBI 45

Josh Smith

.755 OPS

AVG .263

OBP .350

SLG .405

HR 10

AB 388

H 102

RBI 29

Rhys Hoskins

.756 OPS

AVG .244

OBP .336

SLG .420

HR 8

AB 193

H 47

RBI 29

Oneil Cruz

.758 OPS

AVG .229

OBP .320

SLG .438

HR 19

AB 363

H 83

RBI 53

Miguel Andujar

.759 OPS

AVG .290

OBP .331

SLG .429

HR 6

AB 231

H 67

RBI 33

Casey Schmitt

.761 OPS

AVG .259

OBP .317

SLG .444

HR 10

AB 205

H 53

RBI 32

Gavin Lux

.761 OPS

AVG .282

OBP .361

SLG .400

HR 5

AB 390

H 110

RBI 47

Nathaniel Lowe

.762 OPS

AVG .252

OBP .333

SLG .429

HR 16

AB 385

H 97

RBI 74

Marcell Ozuna

.762 OPS

AVG .235

OBP .347

SLG .415

HR 18

AB 378

H 89

RBI 60

Randy Arozarena

.762 OPS

AVG .237

OBP .350

SLG .412

HR 18

AB 427

H 101

RBI 49

Steven Kwan

.764 OPS

AVG .284

OBP .345

SLG .419

HR 11

AB 422

H 120

RBI 44

Luis Garcia

.764 OPS

AVG .270

OBP .305

SLG .458

HR 16

AB 393

H 106

RBI 57

Taylor Ward

.765 OPS

AVG .221

OBP .311

SLG .454

HR 29

AB 476

H 105

RBI 85

Jose Altuve

.765 OPS

AVG .266

OBP .329

SLG .436

HR 19

AB 477

H 127

RBI 61

Jasson Dominguez

.768 OPS

AVG .274

OBP .348

SLG .420

HR 9

AB 288

H 79

RBI 39

Jake Bauers

.769 OPS

AVG .238

OBP .358

SLG .411

HR 7

AB 168

H 40

RBI 25

Brett Harris

.769 OPS

AVG .304

OBP .377

SLG .391

HR 0

AB 46

H 14

RBI 4

Maikel Garcia

.770 OPS

AVG .279

OBP .338

SLG .432

HR 13

AB 477

H 133

RBI 58

Alejandro Kirk

.771 OPS

AVG .284

OBP .348

SLG .423

HR 11

AB 324

H 92

RBI 56

TJ Friedl

.772 OPS

AVG .268

OBP .378

SLG .394

HR 10

AB 406

H 109

RBI 40

Christian Encarnacionstrand

.773 OPS

AVG .258

OBP .288

SLG .485

HR 6

AB 97

H 25

RBI 19

Brandon Nimmo

.773 OPS

AVG .263

OBP .327

SLG .447

HR 17

AB 403

H 106

RBI 62

Jung Hoo Lee

.774 OPS

AVG .276

OBP .346

SLG .428

HR 5

AB 402

H 111

RBI 38

William Contreras

.776 OPS

AVG .267

OBP .354

SLG .422

HR 14

AB 415

H 111

RBI 59

Salvador Perez

.777 OPS

AVG .243

OBP .291

SLG .486

HR 28

AB 461

H 112

RBI 86

Gavin Sheets

.777 OPS

AVG .251

OBP .324

SLG .453

HR 17

AB 351

H 88

RBI 53

Sal Frelick

.781 OPS

AVG .282

OBP .349

SLG .433

HR 12

AB 372

H 105

RBI 48

Jacob Wilson

.781 OPS

AVG .303

OBP .351

SLG .431

HR 9

AB 376

H 114

RBI 53

Evan Carter

.782 OPS

AVG .269

OBP .349

SLG .433

HR 5

AB 171

H 46

RBI 24

Jordan Westburg

.783 OPS

AVG .264

OBP .316

SLG .467

HR 12

AB 227

H 60

RBI 28

Manny Machado

.784 OPS

AVG .284

OBP .336

SLG .448

HR 15

AB 451

H 128

RBI 72

Colt Keith

.785 OPS

AVG .267

OBP .346

SLG .439

HR 13

AB 371

H 99

RBI 44

Troy Johnston

.787 OPS

AVG .288

OBP .345

SLG .442

HR 4

AB 104

H 30

RBI 13

Addison Barger

.788 OPS

AVG .249

OBP .308

SLG .480

HR 20

AB 377

H 94

RBI 66

Kyle Manzardo

.789 OPS

AVG .245

OBP .326

SLG .464

HR 22

AB 384

H 94

RBI 56

Jeremiah Jackson

.792 OPS

AVG .283

OBP .333

SLG .458

HR 4

AB 120

H 34

RBI 13

Zach Neto

.793 OPS

AVG .264

OBP .326

SLG .468

HR 19

AB 402

H 106

RBI 51

Brent Rooker

.794 OPS

AVG .253

OBP .320

SLG .473

HR 25

AB 486

H 123

RBI 74

Ryan Ohearn

.795 OPS

AVG .281

OBP .368

SLG .427

HR 14

AB 377

H 106

RBI 48

Julio Rodriguez

.795 OPS

AVG .271

OBP .328

SLG .467

HR 22

AB 480

H 130

RBI 71

Jahmai Jones

.797 OPS

AVG .280

OBP .357

SLG .440

HR 0

AB 25

H 7

RBI 6

Dylan Beavers

.798 OPS

AVG .244

OBP .387

SLG .411

HR 3

AB 90

H 22

RBI 10

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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