MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Scoring Position, 2 out | 22 | 3 | 0 | 5 | .136 | .240 | .182 | .422 | |
  |
None On | 19 | 2 | 1 | 1 | .105 | .105 | .316 | .421 | |
  |
Scoring Position, 2 out | 13 | 2 | 0 | 2 | .154 | .267 | .154 | .421 | |
  |
None On | 134 | 17 | 4 | 4 | .127 | .182 | .239 | .421 | |
  |
Runners On | 42 | 6 | 1 | 6 | .143 | .182 | .238 | .420 | |
|
Runners On | 77 | 11 | 2 | 11 | .143 | .173 | .247 | .420 | |
  |
None On | 21 | 4 | 0 | 0 | .190 | .227 | .190 | .418 | |
  |
Runners On | 56 | 7 | 0 | 6 | .125 | .258 | .161 | .418 | |
|
None On | 71 | 11 | 0 | 0 | .155 | .221 | .197 | .418 | |
|
Scoring Position, 2 out | 18 | 3 | 0 | 3 | .167 | .250 | .167 | .417 | |
  |
None On | 12 | 2 | 0 | 0 | .167 | .167 | .250 | .417 | |
  |
Lead Off Inning | 85 | 12 | 0 | 0 | .141 | .240 | .176 | .416 | |
|
Runners On | 93 | 15 | 1 | 5 | .161 | .212 | .204 | .416 | |
  |
None On | 35 | 6 | 0 | 0 | .171 | .216 | .200 | .416 | |
|
Scoring Position | 29 | 4 | 0 | 5 | .138 | .242 | .172 | .415 | |
|
Scoring Position | 54 | 9 | 0 | 10 | .167 | .211 | .204 | .414 | |
  |
None On | 33 | 4 | 1 | 1 | .121 | .171 | .242 | .414 | |
|
Scoring Position | 48 | 6 | 1 | 14 | .125 | .185 | .229 | .414 | |
  |
Scoring Position, 2 out | 14 | 2 | 0 | 4 | .143 | .200 | .214 | .414 | |
  |
Bases Loaded | 11 | 2 | 0 | 7 | .182 | .231 | .182 | .413 | |
  |
None On | 44 | 6 | 0 | 0 | .136 | .208 | .205 | .413 | |
|
Runners On | 17 | 3 | 0 | 0 | .176 | .176 | .235 | .412 | |
|
Lead Off Inning | 21 | 2 | 1 | 1 | .095 | .174 | .238 | .412 | |
|
Scoring Position, 2 out | 15 | 2 | 0 | 2 | .133 | .278 | .133 | .411 | |
|
None On | 15 | 2 | 0 | 0 | .133 | .278 | .133 | .411 |
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.