MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Lead Off Inning | 80 | 19 | 1 | 1 | .238 | .274 | .325 | .599 | |
  |
None On | 24 | 6 | 0 | 0 | .250 | .308 | .292 | .599 | |
|
Runners On | 174 | 33 | 7 | 37 | .190 | .260 | .339 | .599 | |
|
None On | 90 | 22 | 1 | 1 | .244 | .299 | .300 | .599 | |
  |
Scoring Position | 28 | 6 | 0 | 10 | .214 | .385 | .214 | .599 | |
  |
Scoring Position | 99 | 24 | 1 | 34 | .242 | .275 | .323 | .598 | |
  |
Scoring Position, 2 out | 59 | 13 | 0 | 17 | .220 | .361 | .237 | .598 | |
  |
None On | 170 | 38 | 3 | 3 | .224 | .286 | .312 | .598 | |
  |
Scoring Position | 26 | 4 | 1 | 10 | .154 | .290 | .308 | .598 | |
  |
Scoring Position | 52 | 10 | 1 | 18 | .192 | .271 | .327 | .598 | |
|
Scoring Position | 16 | 2 | 1 | 7 | .125 | .286 | .313 | .598 | |
|
None On | 58 | 11 | 1 | 1 | .190 | .288 | .310 | .598 | |
  |
None On | 89 | 22 | 0 | 0 | .247 | .295 | .303 | .598 | |
  |
None On | 157 | 34 | 3 | 3 | .217 | .272 | .325 | .597 | |
  |
Scoring Position, 2 out | 83 | 16 | 1 | 20 | .193 | .247 | .349 | .597 | |
  |
Lead Off Inning | 41 | 9 | 0 | 0 | .220 | .304 | .293 | .597 | |
  |
Lead Off Inning | 121 | 27 | 2 | 2 | .223 | .282 | .314 | .596 | |
|
None On | 130 | 25 | 5 | 5 | .192 | .250 | .346 | .596 | |
|
Runners On | 35 | 9 | 0 | 7 | .257 | .282 | .314 | .596 | |
  |
Runners On | 125 | 26 | 4 | 21 | .208 | .268 | .328 | .596 | |
|
Lead Off Inning | 26 | 5 | 0 | 0 | .192 | .250 | .346 | .596 | |
|
None On | 164 | 29 | 6 | 6 | .177 | .266 | .329 | .596 | |
|
None On | 89 | 19 | 3 | 3 | .213 | .247 | .348 | .596 | |
  |
Lead Off Inning | 73 | 17 | 0 | 1 | .233 | .309 | .288 | .596 | |
|
Lead Off Inning | 70 | 15 | 1 | 1 | .214 | .295 | .300 | .595 |
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.
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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.