MLB Batting Splits 2026
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Count 2-2 | 48 | 9 | 1 | 3 | .188 | .188 | .271 | .458 | |
  |
Batting #4 | 16 | 2 | 0 | 0 | .125 | .333 | .125 | .458 | |
|
Count 1-0 | 34 | 7 | 0 | 5 | .206 | .222 | .235 | .458 | |
  |
Last 15 Days | 16 | 2 | 0 | 0 | .125 | .333 | .125 | .458 | |
  |
Runners On | 17 | 4 | 0 | 5 | .235 | .222 | .235 | .458 | |
  |
Batting #1 | 22 | 4 | 0 | 4 | .182 | .231 | .227 | .458 | |
  |
Detroit Tigers | 24 | 4 | 1 | 1 | .167 | .167 | .292 | .458 | |
  |
Batting #3 | 44 | 6 | 1 | 2 | .136 | .208 | .250 | .458 | |
|
Count 0-2 | 17 | 3 | 0 | 2 | .176 | .222 | .235 | .458 | |
  |
Angel Stadium | 48 | 6 | 1 | 4 | .125 | .250 | .208 | .458 | |
  |
2nd PA | 62 | 10 | 1 | — | .161 | .200 | .258 | .458 | |
|
Home | 48 | 6 | 1 | 4 | .125 | .250 | .208 | .458 | |
  |
Scoring Position | 29 | 5 | 0 | 5 | .172 | .250 | .207 | .457 | |
|
1st PA | 74 | 14 | 0 | — | .189 | .241 | .216 | .457 | |
|
Count 1-2 | 35 | 7 | 0 | 4 | .200 | .200 | .257 | .457 | |
|
Night | 81 | 12 | 2 | 6 | .148 | .198 | .259 | .457 | |
|
Seattle Mariners | 23 | 4 | 0 | 0 | .174 | .240 | .217 | .457 | |
|
1st PA | 30 | 4 | 0 | — | .133 | .257 | .200 | .457 | |
  |
Lead Off Inning | 29 | 2 | 1 | 1 | .069 | .250 | .207 | .457 | |
  |
San Francisco Giants | 10 | 1 | 0 | 1 | .100 | .357 | .100 | .457 | |
|
Count 2-2 | 28 | 6 | 0 | 5 | .214 | .207 | .250 | .457 | |
  |
San Francisco Giants | 37 | 7 | 0 | 4 | .189 | .268 | .189 | .457 | |
|
Scoring Position, 2 out | 20 | 2 | 0 | 2 | .100 | .357 | .100 | .457 | |
|
Dodger Stadium | 10 | 1 | 0 | 0 | .100 | .357 | .100 | .457 | |
|
April | 33 | 2 | 2 | 7 | .061 | .214 | .242 | .457 |
Understanding MLB Batting Splits
Batting splits reveal how a hitter performs under specific conditions — against left-handed vs right-handed pitchers, at home vs on the road, during day games vs night games, and more. Platoon splits (vs LHP/RHP) are the most predictive and stable split category, while home/away splits capture park factor effects baked into a player's performance.
Platoon Splits (vs LHP/RHP)
The most important split for props and DFS. Most hitters perform better against opposite-hand pitchers (righties hit lefties better, lefties hit righties better). The gap is often 30-50 OPS points. Always check whether today's starter is a lefty or righty before setting your lineup.
Home vs Away Splits
Home/away splits capture park factor effects and the comfort of playing in a familiar environment. Players on teams like Colorado (Coors Field) often show dramatic home/away splits. A .320 AVG at home vs .260 on the road is a meaningful signal for targeting or fading a hitter based on venue.
Day vs Night Splits
Some hitters perform significantly different in day games vs night games. Day games feature different lighting conditions and are often played in front of smaller crowds. While less predictive than platoon splits, day/night splits can provide an edge for afternoon slate DFS lineups.
Related MLB Tools
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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
What are MLB batting splits?
- Batting splits break down a hitter's performance across different game situations — vs left-handed pitchers (LHP) vs right-handed pitchers (RHP), home vs away, day vs night, and more. Platoon splits (vs LHP/RHP) are the most predictive and stable category. Splits reveal hidden strengths and weaknesses that overall stats can mask.
What are platoon splits in baseball?
- Platoon splits compare a batter's performance against left-handed pitchers vs right-handed pitchers. Most hitters perform better against opposite-hand pitchers — righties hit lefties better, lefties hit righties better. The gap is typically 30-50 OPS points. Platoon splits are a core input for MLB DFS lineup building and prop betting.
How do batting splits help with DFS lineup building?
- Stack hitters who have strong platoon advantages against today's opposing starter. A lineup of right-handed hitters facing a left-handed pitcher with poor RHB splits is an ideal DFS stack. Combine platoon splits with home/away data and park factors for the most complete picture of expected performance.
How do batting splits help with prop betting?
- For hits and total bases props, check the batter's AVG and SLG against the opposing pitcher's handedness. A .320 AVG vs LHP vs .250 AVG vs RHP creates a significant edge on a 0.5 hits over/under depending on who's pitching. Always match the split to today's specific pitching matchup.
Which batting split is most predictive?
- Platoon splits (vs LHP/RHP) are the most stable and predictive split category. Home/away splits are second-most useful but partially reflect park factor effects. Day/night and monthly splits have larger sample size issues and should be weighted less heavily. Season-long splits are more reliable than smaller windows.