MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Runners On | 232 | 56 | 6 | 63 | .241 | .322 | .431 | .753 | |
  |
Lead Off Inning | 138 | 35 | 7 | 7 | .254 | .304 | .449 | .753 | |
  |
None On | 339 | 74 | 20 | 20 | .218 | .299 | .454 | .753 | |
  |
Bases Loaded | 13 | 3 | 1 | 10 | .231 | .214 | .538 | .753 | |
  |
Runners On | 139 | 35 | 5 | 37 | .252 | .335 | .417 | .753 | |
  |
Scoring Position, 2 out | 51 | 11 | 3 | 17 | .216 | .322 | .431 | .753 | |
  |
Scoring Position | 81 | 20 | 4 | 34 | .247 | .333 | .420 | .753 | |
  |
Runners On | 141 | 36 | 2 | 29 | .255 | .376 | .376 | .752 | |
|
Scoring Position | 93 | 23 | 4 | 40 | .247 | .290 | .462 | .752 | |
  |
None On | 270 | 53 | 19 | 19 | .196 | .300 | .452 | .752 | |
  |
None On | 126 | 30 | 4 | 4 | .238 | .338 | .413 | .751 | |
  |
None On | 411 | 97 | 17 | 17 | .236 | .325 | .426 | .751 | |
|
Runners On | 231 | 63 | 9 | 53 | .273 | .305 | .446 | .751 | |
|
Lead Off Inning | 82 | 18 | 4 | 5 | .220 | .312 | .439 | .751 | |
|
None On | 171 | 43 | 9 | 9 | .251 | .301 | .450 | .751 | |
  |
Runners On | 149 | 43 | 1 | 23 | .289 | .361 | .389 | .751 | |
  |
Lead Off Inning | 85 | 23 | 1 | 2 | .271 | .303 | .447 | .750 | |
|
Bases Loaded | 12 | 4 | 0 | 14 | .333 | .333 | .417 | .750 | |
  |
Runners On | 168 | 40 | 6 | 43 | .238 | .321 | .429 | .750 | |
  |
None On | 28 | 9 | 1 | 1 | .321 | .321 | .429 | .750 | |
|
Bases Loaded | 12 | 4 | 0 | 7 | .333 | .333 | .417 | .750 | |
|
Bases Loaded | 12 | 2 | 1 | 12 | .167 | .250 | .500 | .750 | |
  |
None On | 268 | 68 | 10 | 10 | .254 | .324 | .425 | .750 | |
  |
None On | 224 | 57 | 11 | 11 | .254 | .289 | .460 | .749 | |
|
Runners On | 53 | 15 | 3 | 13 | .283 | .296 | .453 | .749 |
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.