MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Chicago Cubs | 46 | 7 | 1 | 2 | .152 | .204 | .283 | .487 | |
 |
Detroit Tigers | 22 | 3 | 0 | 2 | .136 | .259 | .227 | .487 | |
 |
St. Louis Cardinals | 45 | 8 | 0 | 4 | .178 | .309 | .178 | .487 | |
 |
Oakland Athletics | 38 | 8 | 0 | 1 | .211 | .250 | .237 | .487 | |
 |
Detroit Tigers | 27 | 4 | 0 | 1 | .148 | .303 | .185 | .488 | |
|
Pittsburgh Pirates | 20 | 4 | 0 | 0 | .200 | .238 | .250 | .488 | |
 |
Minnesota Twins | 22 | 5 | 0 | 1 | .227 | .261 | .227 | .488 | |
  |
Miami Marlins | 21 | 4 | 0 | 3 | .190 | .250 | .238 | .488 | |
|
San Francisco Giants | 18 | 3 | 0 | 0 | .167 | .211 | .278 | .488 | |
|
Cincinnati Reds | 16 | 2 | 0 | 0 | .125 | .300 | .188 | .488 | |
|
Toronto Blue Jays | 20 | 4 | 0 | 0 | .200 | .238 | .250 | .488 | |
|
Los Angeles Dodgers | 24 | 5 | 0 | 2 | .208 | .240 | .250 | .490 | |
|
Baltimore Orioles | 11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
  |
Miami Marlins | 11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
 |
Detroit Tigers | 11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
|
San Diego Padres | 11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
 |
Milwaukee Brewers | 20 | 3 | 1 | 3 | .150 | .190 | .300 | .490 | |
|
Boston Red Sox | 11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
|
Los Angeles Angels | 11 | 2 | 0 | 1 | .182 | .308 | .182 | .490 | |
 |
Detroit Tigers | 11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
 |
Kansas City Royals | 11 | 2 | 0 | 2 | .182 | .308 | .182 | .490 | |
|
Minnesota Twins | 22 | 4 | 0 | 2 | .182 | .217 | .273 | .490 | |
|
San Diego Padres | 36 | 6 | 0 | 1 | .167 | .268 | .222 | .491 | |
 |
Houston Astros | 47 | 8 | 0 | 4 | .170 | .278 | .213 | .491 | |
|
San Diego Padres | 35 | 7 | 0 | 2 | .200 | .263 | .229 | .492 | |
|
Los Angeles Dodgers | 32 | 7 | 0 | 1 | .219 | .242 | .250 | .492 | |
 |
New York Yankees | 27 | 4 | 0 | 1 | .148 | .233 | .259 | .493 | |
|
Kansas City Royals | 14 | 1 | 0 | 1 | .071 | .350 | .143 | .493 | |
|
New York Yankees | 45 | 10 | 0 | 1 | .222 | .271 | .222 | .493 | |
|
New York Yankees | 24 | 4 | 1 | 4 | .167 | .160 | .333 | .493 | |
|
Boston Red Sox | 35 | 6 | 1 | 4 | .171 | .237 | .257 | .494 | |
 |
Chicago White Sox | 15 | 3 | 0 | 1 | .200 | .294 | .200 | .494 | |
|
Texas Rangers | 25 | 3 | 1 | 1 | .120 | .214 | .280 | .494 | |
|
Cincinnati Reds | 15 | 3 | 0 | 2 | .200 | .294 | .200 | .494 | |
|
New York Yankees | 47 | 7 | 2 | 5 | .149 | .196 | .298 | .494 | |
|
Tampa Bay Rays | 15 | 3 | 0 | 1 | .200 | .294 | .200 | .494 | |
|
St. Louis Cardinals | 34 | 5 | 0 | 2 | .147 | .318 | .176 | .495 | |
|
Cleveland Indians | 29 | 4 | 1 | 1 | .138 | .219 | .276 | .495 | |
 |
Baltimore Orioles | 19 | 4 | 0 | 0 | .211 | .286 | .211 | .496 | |
|
New York Mets | 19 | 4 | 0 | 0 | .211 | .286 | .211 | .496 | |
|
Toronto Blue Jays | 13 | 2 | 0 | 0 | .154 | .267 | .231 | .497 | |
|
Colorado Rockies | 13 | 2 | 0 | 0 | .154 | .267 | .231 | .497 | |
|
Seattle Mariners | 22 | 4 | 0 | 2 | .182 | .269 | .227 | .497 | |
|
Boston Red Sox | 13 | 2 | 0 | 0 | .154 | .267 | .231 | .497 | |
|
Philadelphia Phillies | 17 | 3 | 0 | 3 | .176 | .263 | .235 | .498 | |
|
Los Angeles Dodgers | 21 | 4 | 0 | 1 | .190 | .261 | .238 | .499 | |
|
Seattle Mariners | 39 | 9 | 0 | 1 | .231 | .268 | .231 | .499 | |
|
Boston Red Sox | 25 | 5 | 0 | 2 | .200 | .259 | .240 | .499 | |
 |
Arizona Diamondbacks | 25 | 5 | 0 | 4 | .200 | .259 | .240 | .499 | |
|
San Francisco Giants | 29 | 6 | 0 | 2 | .207 | .258 | .241 | .499 |
Understanding Opponent Splits
Opponent splits reveal how a hitter performs against each MLB team. These splits capture the combined effect of a team's pitching staff, defensive alignment, and park factors. Some hitters consistently dominate certain teams due to favorable pitching matchups.
Team-Specific Matchups
Some hitters own certain teams. This often reflects favorable matchups against that team's pitching staff — handedness advantages, pitch-type weaknesses, or familiarity from division play. Division rivals face each other 13+ times per season, creating larger sample sizes.
Stacking by Opponent
For DFS, opponent splits help identify entire lineups to stack. If multiple hitters on a team have strong splits against today's opponent, that's a high-correlation stack. Combine with the opposing starter's recent form for maximum edge.
Sample Size Caution
Opponent splits against non-division teams can be small (3-4 games per season). Weight division matchups more heavily since they have 13+ games of data. A .400 AVG in 10 at-bats against a team is interesting but not predictive on its own.
Related MLB Tools
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MLB DFS Stacks
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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
- How reliable are opponent batting splits?
- Division opponent splits are the most reliable since hitters face those teams 13+ times per season. Interleague and non-division splits have smaller sample sizes (3-7 games) and should be weighted less heavily. Always check the at-bat count before drawing conclusions.
- How do I use opponent splits for DFS stacks?
- Find teams where multiple hitters have strong splits against today's opponent. Stack 3-4 hitters from that team in your DFS lineup for high correlation. This works especially well when the opposing starter is also weak against that lineup's handedness profile.
- Why do some hitters crush certain teams?
- It usually comes down to pitching staff matchups. A hitter might face favorable pitch types, have platoon advantages against most of a team's rotation, or thrive at that team's home park. Division familiarity also plays a role — hitters see the same pitchers repeatedly.