Is clutch hitting a real skill?

This is debated, but the evidence suggests that while most clutch performance is random variation, some hitters do have a repeatable ability to perform in high-leverage situations. Hitters with consistently high RISP splits across multiple seasons are more likely to have a real skill than those with one hot year.

How do I use RISP splits for prop betting?

Target hitters with strong RISP splits for RBI props, especially when they bat in the middle of a potent lineup. If the lineup around them gets on base frequently, a high-RISP hitter will have more opportunities to drive in runs. Combine with the opposing pitcher's RISP-allowed stats for the clearest edge.

What is the "scoring position, 2 out" split?

This is arguably the highest-pressure regular-season at-bat situation — runners on 2nd/3rd with 2 outs. Hitters who thrive here extend innings and produce outsized run totals. It's a small-sample split, so look for consistency across seasons rather than relying on one year's data.

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 Bases Loaded Lead Off Inning None On Runners On Scoring Position Scoring Position, 2 out

Player	AB	H	HR	RBI	AVG	OBP	SLG	OPS ▼
Zach Cole	18	7	3	10	.389	.476	.944	1.421
Drew Millas	22	10	0	7	.455	.500	.682	1.182
Gary Sanchez	38	14	4	23	.368	.444	.737	1.181
Carlos Cortes	33	13	2	12	.394	.405	.697	1.102
Nick Kurtz	165	46	19	69	.279	.374	.679	1.053
Aaron Judge	227	74	19	80	.326	.405	.643	1.048
Cal Raleigh	244	61	31	96	.250	.363	.668	1.031
Pete Alonso	308	96	23	111	.312	.386	.620	1.006
Bryce Johnson	35	15	1	8	.429	.459	.543	1.002
Brice Matthews	19	5	3	8	.263	.263	.737	1.000
Matt Vierling	29	11	1	11	.379	.444	.552	.996
Giancarlo Stanton	118	32	13	55	.271	.356	.636	.991
Austin Wynns	48	16	4	19	.333	.365	.625	.990
Jeremy Pena	166	58	6	51	.349	.412	.560	.972
Carter Jensen	26	9	1	11	.346	.393	.577	.970
Jahmai Jones	44	13	1	17	.295	.415	.545	.961
George Springer	191	60	13	65	.314	.397	.560	.958
Yordan Alvarez	64	24	3	24	.375	.403	.547	.949
Tyler Stephenson	127	37	8	45	.291	.382	.559	.941
Jake Rogers	45	13	3	19	.289	.382	.556	.937
Cody Freeman	44	16	2	14	.364	.383	.545	.928
Hunter Goodman	230	68	15	75	.296	.354	.574	.928
Daulton Varsho	124	33	11	46	.266	.304	.621	.925
Brice Turang	236	80	8	71	.339	.399	.521	.920
Fernando Tatis	195	62	9	55	.318	.416	.497	.913
Tyler Heineman	57	20	1	18	.351	.435	.474	.908
Brent Rooker	274	77	16	75	.281	.362	.540	.902
Gunnar Henderson	230	74	8	59	.322	.397	.504	.901
Mickey Moniak	171	50	10	54	.292	.333	.567	.901
Christian Koss	80	27	3	23	.338	.382	.513	.895
Trent Grisham	177	44	15	55	.249	.374	.520	.894
Jose Ramirez	233	70	13	68	.300	.361	.532	.893
Brandon Lowe	220	64	15	67	.291	.355	.536	.891
Colson Montgomery	125	33	11	45	.264	.321	.568	.889
Evan Carter	81	24	3	23	.296	.387	.494	.881
Miguel Andujar	138	50	3	37	.362	.384	.493	.876
Kyle Teel	92	29	3	30	.315	.429	.446	.874
Josh Naylor	253	82	9	81	.324	.367	.506	.873
Yoan Moncada	105	29	5	28	.276	.395	.476	.872
Jacob Wilson	213	76	4	54	.357	.397	.474	.872
Jazz Chisholm	203	51	16	65	.251	.342	.527	.869
Spencer Horwitz	152	46	5	45	.303	.389	.480	.869
Julio Rodriguez	278	80	15	78	.288	.344	.525	.869
Salvador Perez	267	76	16	86	.285	.333	.536	.869
James Wood	238	65	13	76	.273	.351	.517	.867
Eugenio Suarez	254	61	22	91	.240	.313	.547	.860
JO Adell	228	64	14	75	.281	.337	.522	.859
Weston Wilson	48	14	3	15	.292	.358	.500	.858
Shea Langeliers	207	56	13	54	.271	.328	.527	.854
Addison Barger	222	61	12	65	.275	.321	.532	.852

Sort by: OPS ▼ AVG SLG OBP AB HR

Zach Cole

1.421 OPS

AVG .389

OBP .476

SLG .944

HR 3

AB 18

H 7

RBI 10

Drew Millas

1.182 OPS

AVG .455

OBP .500

SLG .682

HR 0

AB 22

H 10

RBI 7

Gary Sanchez

1.181 OPS

AVG .368

OBP .444

SLG .737

HR 4

AB 38

H 14

RBI 23

Carlos Cortes

1.102 OPS

AVG .394

OBP .405

SLG .697

HR 2

AB 33

H 13

RBI 12

Nick Kurtz

1.053 OPS

AVG .279

OBP .374

SLG .679

HR 19

AB 165

H 46

RBI 69

Aaron Judge

1.048 OPS

AVG .326

OBP .405

SLG .643

HR 19

AB 227

H 74

RBI 80

Cal Raleigh

1.031 OPS

AVG .250

OBP .363

SLG .668

HR 31

AB 244

H 61

RBI 96

Pete Alonso

1.006 OPS

AVG .312

OBP .386

SLG .620

HR 23

AB 308

H 96

RBI 111

Bryce Johnson

1.002 OPS

AVG .429

OBP .459

SLG .543

HR 1

AB 35

H 15

RBI 8

Brice Matthews

1.000 OPS

AVG .263

OBP .263

SLG .737

HR 3

AB 19

H 5

RBI 8

Matt Vierling

.996 OPS

AVG .379

OBP .444

SLG .552

HR 1

AB 29

H 11

RBI 11

Giancarlo Stanton

.991 OPS

AVG .271

OBP .356

SLG .636

HR 13

AB 118

H 32

RBI 55

Austin Wynns

.990 OPS

AVG .333

OBP .365

SLG .625

HR 4

AB 48

H 16

RBI 19

Jeremy Pena

.972 OPS

AVG .349

OBP .412

SLG .560

HR 6

AB 166

H 58

RBI 51

Carter Jensen

.970 OPS

AVG .346

OBP .393

SLG .577

HR 1

AB 26

H 9

RBI 11

Jahmai Jones

.961 OPS

AVG .295

OBP .415

SLG .545

HR 1

AB 44

H 13

RBI 17

George Springer

.958 OPS

AVG .314

OBP .397

SLG .560

HR 13

AB 191

H 60

RBI 65

Yordan Alvarez

.949 OPS

AVG .375

OBP .403

SLG .547

HR 3

AB 64

H 24

RBI 24

Tyler Stephenson

.941 OPS

AVG .291

OBP .382

SLG .559

HR 8

AB 127

H 37

RBI 45

Jake Rogers

.937 OPS

AVG .289

OBP .382

SLG .556

HR 3

AB 45

H 13

RBI 19

Cody Freeman

.928 OPS

AVG .364

OBP .383

SLG .545

HR 2

AB 44

H 16

RBI 14

Hunter Goodman

.928 OPS

AVG .296

OBP .354

SLG .574

HR 15

AB 230

H 68

RBI 75

Daulton Varsho

.925 OPS

AVG .266

OBP .304

SLG .621

HR 11

AB 124

H 33

RBI 46

Brice Turang

.920 OPS

AVG .339

OBP .399

SLG .521

HR 8

AB 236

H 80

RBI 71

Fernando Tatis

.913 OPS

AVG .318

OBP .416

SLG .497

HR 9

AB 195

H 62

RBI 55

Tyler Heineman

.908 OPS

AVG .351

OBP .435

SLG .474

HR 1

AB 57

H 20

RBI 18

Brent Rooker

.902 OPS

AVG .281

OBP .362

SLG .540

HR 16

AB 274

H 77

RBI 75

Gunnar Henderson

.901 OPS

AVG .322

OBP .397

SLG .504

HR 8

AB 230

H 74

RBI 59

Mickey Moniak

.901 OPS

AVG .292

OBP .333

SLG .567

HR 10

AB 171

H 50

RBI 54

Christian Koss

.895 OPS

AVG .338

OBP .382

SLG .513

HR 3

AB 80

H 27

RBI 23

Trent Grisham

.894 OPS

AVG .249

OBP .374

SLG .520

HR 15

AB 177

H 44

RBI 55

Jose Ramirez

.893 OPS

AVG .300

OBP .361

SLG .532

HR 13

AB 233

H 70

RBI 68

Brandon Lowe

.891 OPS

AVG .291

OBP .355

SLG .536

HR 15

AB 220

H 64

RBI 67

Colson Montgomery

.889 OPS

AVG .264

OBP .321

SLG .568

HR 11

AB 125

H 33

RBI 45

Evan Carter

.881 OPS

AVG .296

OBP .387

SLG .494

HR 3

AB 81

H 24

RBI 23

Miguel Andujar

.876 OPS

AVG .362

OBP .384

SLG .493

HR 3

AB 138

H 50

RBI 37

Kyle Teel

.874 OPS

AVG .315

OBP .429

SLG .446

HR 3

AB 92

H 29

RBI 30

Josh Naylor

.873 OPS

AVG .324

OBP .367

SLG .506

HR 9

AB 253

H 82

RBI 81

Yoan Moncada

.872 OPS

AVG .276

OBP .395

SLG .476

HR 5

AB 105

H 29

RBI 28

Jacob Wilson

.872 OPS

AVG .357

OBP .397

SLG .474

HR 4

AB 213

H 76

RBI 54

Jazz Chisholm

.869 OPS

AVG .251

OBP .342

SLG .527

HR 16

AB 203

H 51

RBI 65

Spencer Horwitz

.869 OPS

AVG .303

OBP .389

SLG .480

HR 5

AB 152

H 46

RBI 45

Julio Rodriguez

.869 OPS

AVG .288

OBP .344

SLG .525

HR 15

AB 278

H 80

RBI 78

Salvador Perez

.869 OPS

AVG .285

OBP .333

SLG .536

HR 16

AB 267

H 76

RBI 86

James Wood

.867 OPS

AVG .273

OBP .351

SLG .517

HR 13

AB 238

H 65

RBI 76

Eugenio Suarez

.860 OPS

AVG .240

OBP .313

SLG .547

HR 22

AB 254

H 61

RBI 91

JO Adell

.859 OPS

AVG .281

OBP .337

SLG .522

HR 14

AB 228

H 64

RBI 75

Weston Wilson

.858 OPS

AVG .292

OBP .358

SLG .500

HR 3

AB 48

H 14

RBI 15

Shea Langeliers

.854 OPS

AVG .271

OBP .328

SLG .527

HR 13

AB 207

H 56

RBI 54

Addison Barger

.852 OPS

AVG .275

OBP .321

SLG .532

HR 12

AB 222

H 61

RBI 65

Understanding Situational Splits

Situational splits capture a hitter's performance in high-leverage game contexts — runners in scoring position (RISP), two-out situations, and clutch at-bats. These splits reveal which hitters elevate their game when it matters most.

RISP (Runners in Scoring Position)

RISP splits show how a hitter performs with runners on 2nd and/or 3rd. Some hitters elevate with RISP while others tighten up. For prop betting, high RISP splits indicate a hitter who thrives under pressure and may exceed their base projections in run-producing situations.

Two-Out Situations

Two-out hitting is a specific skill. Hitters who maintain high averages with 2 outs extend innings and create run-scoring opportunities. The "scoring position, 2 out" split is the ultimate clutch metric — it captures rally-extending at-bats under maximum pressure.

DFS & Betting Value

Situational splits help identify "clutch" hitters whose RBI and run totals outpace their overall stat line. A hitter with elite RISP splits batting 4th or 5th in a potent lineup is a prime RBI prop target. These splits also help explain why some hitters consistently outperform their projections.

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

Is clutch hitting a real skill?: This is debated, but the evidence suggests that while most clutch performance is random variation, some hitters do have a repeatable ability to perform in high-leverage situations. Hitters with consistently high RISP splits across multiple seasons are more likely to have a real skill than those with one hot year.
How do I use RISP splits for prop betting?: Target hitters with strong RISP splits for RBI props, especially when they bat in the middle of a potent lineup. If the lineup around them gets on base frequently, a high-RISP hitter will have more opportunities to drive in runs. Combine with the opposing pitcher's RISP-allowed stats for the clearest edge.
What is the "scoring position, 2 out" split?: This is arguably the highest-pressure regular-season at-bat situation — runners on 2nd/3rd with 2 outs. Hitters who thrive here extend innings and produce outsized run totals. It's a small-sample split, so look for consistency across seasons rather than relying on one year's data.

MLB Batting Splits 2025

Understanding Situational Splits

RISP (Runners in Scoring Position)

Two-Out Situations

DFS & Betting Value

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