MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
None On | 13 | 3 | 0 | 0 | .231 | .333 | .231 | .564 | |
  |
Runners On | 79 | 19 | 0 | 14 | .241 | .286 | .278 | .564 | |
  |
None On | 125 | 23 | 4 | 4 | .184 | .244 | .320 | .564 | |
  |
Lead Off Inning | 27 | 5 | 1 | 1 | .185 | .267 | .296 | .563 | |
  |
None On | 54 | 10 | 1 | 1 | .185 | .267 | .296 | .563 | |
  |
None On | 117 | 25 | 2 | 2 | .214 | .264 | .299 | .563 | |
|
Scoring Position | 48 | 7 | 1 | 17 | .146 | .271 | .292 | .563 | |
  |
Runners On | 64 | 13 | 1 | 17 | .203 | .235 | .328 | .563 | |
|
Lead Off Inning | 86 | 19 | 0 | 1 | .221 | .272 | .291 | .562 | |
  |
Scoring Position | 95 | 20 | 1 | 36 | .211 | .278 | .284 | .562 | |
  |
None On | 127 | 25 | 3 | 3 | .197 | .239 | .323 | .562 | |
  |
None On | 274 | 53 | 9 | 9 | .193 | .256 | .307 | .562 | |
|
None On | 36 | 7 | 0 | 0 | .194 | .256 | .306 | .562 | |
  |
None On | 104 | 23 | 1 | 1 | .221 | .264 | .298 | .562 | |
  |
Runners On | 194 | 43 | 0 | 36 | .222 | .298 | .263 | .561 | |
  |
Scoring Position, 2 out | 74 | 14 | 2 | 21 | .189 | .250 | .311 | .561 | |
  |
Scoring Position, 2 out | 39 | 8 | 1 | 11 | .205 | .279 | .282 | .561 | |
  |
Runners On | 75 | 12 | 3 | 13 | .160 | .241 | .320 | .561 | |
  |
Scoring Position | 98 | 16 | 4 | 31 | .163 | .234 | .327 | .561 | |
  |
None On | 55 | 12 | 0 | 0 | .218 | .306 | .255 | .561 | |
  |
None On | 51 | 7 | 2 | 2 | .137 | .267 | .294 | .561 | |
|
Runners On | 86 | 19 | 2 | 10 | .221 | .247 | .314 | .561 | |
|
Runners On | 52 | 9 | 1 | 5 | .173 | .271 | .288 | .560 | |
|
Lead Off Inning | 25 | 5 | 1 | 1 | .200 | .200 | .360 | .560 | |
|
None On | 80 | 16 | 1 | 1 | .200 | .273 | .288 | .560 |
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.