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 ▼
Christian Yelich	296	74	16	16	.250	.337	.449	.787
Jackson Merrill	230	60	12	12	.261	.303	.483	.786
James Wood	360	88	18	18	.244	.337	.447	.784
Riley Greene	318	80	17	17	.252	.318	.465	.783
Jonny Deluca	32	10	0	0	.313	.313	.469	.781
Ryan Ohearn	255	69	10	10	.271	.350	.431	.781
Cody Bellinger	299	72	17	17	.241	.306	.475	.781
Hunter Goodman	310	82	16	16	.265	.298	.481	.779
Miguel Andujar	183	52	7	7	.284	.325	.454	.778
Willy Adames	346	79	22	22	.228	.324	.451	.775
Vinnie Pasquantino	308	79	14	14	.256	.316	.458	.774
Mickey Moniak	263	67	14	14	.255	.285	.487	.771
Jesus Sanchez	246	64	9	9	.260	.318	.451	.770
Gavin Sheets	266	69	11	11	.259	.323	.447	.770
Paul Goldschmidt	291	83	9	9	.285	.329	.440	.769
CJ Abrams	381	99	15	15	.260	.320	.449	.769
Jeremy Pena	327	92	11	11	.281	.334	.434	.769
Andrew Benintendi	240	60	14	14	.250	.294	.475	.769
Lawrence Butler	354	88	16	16	.249	.325	.444	.768
Kerry Carpenter	255	67	13	13	.263	.293	.475	.768
Heliot Ramos	372	101	13	13	.272	.347	.419	.766
Will Benson	121	30	7	7	.248	.295	.471	.766
Brandon Nimmo	333	87	14	14	.261	.330	.435	.765
Trent Grisham	317	72	19	19	.227	.332	.432	.765
Harrison Bader	262	72	7	7	.275	.345	.420	.765
Jazz Chisholm	259	61	15	15	.236	.320	.444	.764
Dillon Dingler	237	68	8	8	.287	.321	.443	.764
Wyatt Langford	298	70	13	13	.235	.347	.416	.763
Andrew Vaughn	210	59	6	6	.281	.332	.429	.760
Jeff McNeil	238	59	8	8	.248	.337	.420	.757
Josh Naylor	290	78	11	11	.269	.333	.424	.757
Brendan Donovan	282	77	6	6	.273	.345	.411	.756
Mike Trout	287	64	17	17	.223	.320	.436	.756
William Contreras	294	75	9	9	.255	.354	.401	.755
Fernando Tatis	399	97	16	16	.243	.333	.421	.754
Austin Wynns	55	14	2	2	.255	.281	.473	.753
Darell Hernaiz	95	27	1	1	.284	.358	.389	.748
Josh Smith	319	85	8	8	.266	.346	.398	.744
Austin Hays	197	46	10	10	.234	.298	.447	.744
Xander Bogaerts	272	75	7	7	.276	.334	.408	.743
Brett Harris	42	12	0	0	.286	.362	.381	.743
Jerar Encarnacion	32	8	2	2	.250	.273	.469	.741
Jacob Wilson	273	75	9	9	.275	.320	.421	.741
Brent Rooker	351	87	14	14	.248	.307	.433	.740
Jake Meyers	209	64	2	2	.306	.350	.388	.737
Tyler Tolbert	27	8	0	0	.296	.367	.370	.737
Troy Johnston	63	18	3	3	.286	.308	.429	.736
Noelvi Marte	181	45	10	10	.249	.277	.459	.735
Julio Rodriguez	374	94	17	17	.251	.298	.436	.734
Jordan Westburg	211	53	10	10	.251	.298	.436	.734

Sort by: OPS ▼ AVG SLG OBP AB HR

Christian Yelich

.787 OPS

AVG .250

OBP .337

SLG .449

HR 16

AB 296

H 74

RBI 16

Jackson Merrill

.786 OPS

AVG .261

OBP .303

SLG .483

HR 12

AB 230

H 60

RBI 12

James Wood

.784 OPS

AVG .244

OBP .337

SLG .447

HR 18

AB 360

H 88

RBI 18

Riley Greene

.783 OPS

AVG .252

OBP .318

SLG .465

HR 17

AB 318

H 80

RBI 17

Jonny Deluca

.781 OPS

AVG .313

OBP .313

SLG .469

HR 0

AB 32

H 10

RBI 0

Ryan Ohearn

.781 OPS

AVG .271

OBP .350

SLG .431

HR 10

AB 255

H 69

RBI 10

Cody Bellinger

.781 OPS

AVG .241

OBP .306

SLG .475

HR 17

AB 299

H 72

RBI 17

Hunter Goodman

.779 OPS

AVG .265

OBP .298

SLG .481

HR 16

AB 310

H 82

RBI 16

Miguel Andujar

.778 OPS

AVG .284

OBP .325

SLG .454

HR 7

AB 183

H 52

RBI 7

Willy Adames

.775 OPS

AVG .228

OBP .324

SLG .451

HR 22

AB 346

H 79

RBI 22

Vinnie Pasquantino

.774 OPS

AVG .256

OBP .316

SLG .458

HR 14

AB 308

H 79

RBI 14

Mickey Moniak

.771 OPS

AVG .255

OBP .285

SLG .487

HR 14

AB 263

H 67

RBI 14

Jesus Sanchez

.770 OPS

AVG .260

OBP .318

SLG .451

HR 9

AB 246

H 64

RBI 9

Gavin Sheets

.770 OPS

AVG .259

OBP .323

SLG .447

HR 11

AB 266

H 69

RBI 11

Paul Goldschmidt

.769 OPS

AVG .285

OBP .329

SLG .440

HR 9

AB 291

H 83

RBI 9

CJ Abrams

.769 OPS

AVG .260

OBP .320

SLG .449

HR 15

AB 381

H 99

RBI 15

Jeremy Pena

.769 OPS

AVG .281

OBP .334

SLG .434

HR 11

AB 327

H 92

RBI 11

Andrew Benintendi

.769 OPS

AVG .250

OBP .294

SLG .475

HR 14

AB 240

H 60

RBI 14

Lawrence Butler

.768 OPS

AVG .249

OBP .325

SLG .444

HR 16

AB 354

H 88

RBI 16

Kerry Carpenter

.768 OPS

AVG .263

OBP .293

SLG .475

HR 13

AB 255

H 67

RBI 13

Heliot Ramos

.766 OPS

AVG .272

OBP .347

SLG .419

HR 13

AB 372

H 101

RBI 13

Will Benson

.766 OPS

AVG .248

OBP .295

SLG .471

HR 7

AB 121

H 30

RBI 7

Brandon Nimmo

.765 OPS

AVG .261

OBP .330

SLG .435

HR 14

AB 333

H 87

RBI 14

Trent Grisham

.765 OPS

AVG .227

OBP .332

SLG .432

HR 19

AB 317

H 72

RBI 19

Harrison Bader

.765 OPS

AVG .275

OBP .345

SLG .420

HR 7

AB 262

H 72

RBI 7

Jazz Chisholm

.764 OPS

AVG .236

OBP .320

SLG .444

HR 15

AB 259

H 61

RBI 15

Dillon Dingler

.764 OPS

AVG .287

OBP .321

SLG .443

HR 8

AB 237

H 68

RBI 8

Wyatt Langford

.763 OPS

AVG .235

OBP .347

SLG .416

HR 13

AB 298

H 70

RBI 13

Andrew Vaughn

.760 OPS

AVG .281

OBP .332

SLG .429

HR 6

AB 210

H 59

RBI 6

Jeff McNeil

.757 OPS

AVG .248

OBP .337

SLG .420

HR 8

AB 238

H 59

RBI 8

Josh Naylor

.757 OPS

AVG .269

OBP .333

SLG .424

HR 11

AB 290

H 78

RBI 11

Brendan Donovan

.756 OPS

AVG .273

OBP .345

SLG .411

HR 6

AB 282

H 77

RBI 6

Mike Trout

.756 OPS

AVG .223

OBP .320

SLG .436

HR 17

AB 287

H 64

RBI 17

William Contreras

.755 OPS

AVG .255

OBP .354

SLG .401

HR 9

AB 294

H 75

RBI 9

Fernando Tatis

.754 OPS

AVG .243

OBP .333

SLG .421

HR 16

AB 399

H 97

RBI 16

Austin Wynns

.753 OPS

AVG .255

OBP .281

SLG .473

HR 2

AB 55

H 14

RBI 2

Darell Hernaiz

.748 OPS

AVG .284

OBP .358

SLG .389

HR 1

AB 95

H 27

RBI 1

Josh Smith

.744 OPS

AVG .266

OBP .346

SLG .398

HR 8

AB 319

H 85

RBI 8

Austin Hays

.744 OPS

AVG .234

OBP .298

SLG .447

HR 10

AB 197

H 46

RBI 10

Xander Bogaerts

.743 OPS

AVG .276

OBP .334

SLG .408

HR 7

AB 272

H 75

RBI 7

Brett Harris

.743 OPS

AVG .286

OBP .362

SLG .381

HR 0

AB 42

H 12

RBI 0

Jerar Encarnacion

.741 OPS

AVG .250

OBP .273

SLG .469

HR 2

AB 32

H 8

RBI 2

Jacob Wilson

.741 OPS

AVG .275

OBP .320

SLG .421

HR 9

AB 273

H 75

RBI 9

Brent Rooker

.740 OPS

AVG .248

OBP .307

SLG .433

HR 14

AB 351

H 87

RBI 14

Jake Meyers

.737 OPS

AVG .306

OBP .350

SLG .388

HR 2

AB 209

H 64

RBI 2

Tyler Tolbert

.737 OPS

AVG .296

OBP .367

SLG .370

HR 0

AB 27

H 8

RBI 0

Troy Johnston

.736 OPS

AVG .286

OBP .308

SLG .429

HR 3

AB 63

H 18

RBI 3

Noelvi Marte

.735 OPS

AVG .249

OBP .277

SLG .459

HR 10

AB 181

H 45

RBI 10

Julio Rodriguez

.734 OPS

AVG .251

OBP .298

SLG .436

HR 17

AB 374

H 94

RBI 17

Jordan Westburg

.734 OPS

AVG .251

OBP .298

SLG .436

HR 10

AB 211

H 53

RBI 10

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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