MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
New York Yankees | 12 | 2 | 0 | 1 | .167 | .286 | .167 | .452 | |
 |
New York Yankees | 12 | 2 | 0 | 0 | .167 | .286 | .167 | .452 | |
 |
San Francisco Giants | 12 | 2 | 0 | 0 | .167 | .286 | .167 | .452 | |
 |
Texas Rangers | 12 | 2 | 0 | 1 | .167 | .286 | .167 | .452 | |
 |
Philadelphia Phillies | 30 | 5 | 1 | 5 | .167 | .188 | .267 | .454 | |
 |
Los Angeles Dodgers | 38 | 3 | 2 | 9 | .079 | .217 | .237 | .454 | |
|
Tampa Bay Rays | 34 | 5 | 1 | 6 | .147 | .189 | .265 | .454 | |
 |
Minnesota Twins | 11 | 2 | 0 | 1 | .182 | .182 | .273 | .455 | |
  |
New York Yankees | 11 | 2 | 0 | 1 | .182 | .182 | .273 | .455 | |
|
Miami Marlins | 21 | 3 | 0 | 1 | .143 | .217 | .238 | .455 | |
 |
New York Mets | 11 | 2 | 0 | 1 | .182 | .182 | .273 | .455 | |
 |
Los Angeles Dodgers | 11 | 2 | 0 | 1 | .182 | .182 | .273 | .455 | |
|
Detroit Tigers | 11 | 1 | 1 | 1 | .091 | .091 | .364 | .455 | |
|
Baltimore Orioles | 22 | 5 | 0 | 2 | .227 | .227 | .227 | .455 | |
 |
Minnesota Twins | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
 |
Atlanta Braves | 11 | 1 | 1 | 1 | .091 | .091 | .364 | .455 | |
|
Miami Marlins | 22 | 5 | 0 | 3 | .227 | .227 | .227 | .455 | |
|
Los Angeles Dodgers | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
 |
Chicago Cubs | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
|
New York Mets | 11 | 2 | 0 | 1 | .182 | .182 | .273 | .455 | |
|
Milwaukee Brewers | 11 | 2 | 0 | 2 | .182 | .182 | .273 | .455 | |
|
Detroit Tigers | 36 | 5 | 1 | 3 | .139 | .205 | .250 | .455 | |
|
Los Angeles Dodgers | 11 | 2 | 0 | 0 | .182 | .182 | .273 | .455 | |
 |
Detroit Tigers | 49 | 8 | 0 | 3 | .163 | .212 | .245 | .456 | |
|
Washington Nationals | 23 | 4 | 0 | 2 | .174 | .240 | .217 | .457 | |
 |
New York Yankees | 23 | 4 | 0 | 0 | .174 | .240 | .217 | .457 | |
 |
Colorado Rockies | 10 | 1 | 0 | 0 | .100 | .357 | .100 | .457 | |
|
Cleveland Indians | 24 | 4 | 0 | 3 | .167 | .167 | .292 | .458 | |
|
Pittsburgh Pirates | 20 | 2 | 1 | 2 | .100 | .208 | .250 | .458 | |
|
Washington Nationals | 22 | 2 | 1 | 3 | .091 | .231 | .227 | .458 | |
 |
Atlanta Braves | 17 | 3 | 0 | 1 | .176 | .222 | .235 | .458 | |
|
Cincinnati Reds | 23 | 3 | 1 | 2 | .130 | .200 | .261 | .461 | |
|
Toronto Blue Jays | 19 | 4 | 0 | 3 | .211 | .250 | .211 | .461 | |
|
Baltimore Orioles | 20 | 4 | 0 | 1 | .200 | .261 | .200 | .461 | |
|
New York Yankees | 19 | 4 | 0 | 1 | .211 | .250 | .211 | .461 | |
|
Los Angeles Dodgers | 20 | 3 | 0 | 0 | .150 | .261 | .200 | .461 | |
|
Pittsburgh Pirates | 20 | 3 | 0 | 1 | .150 | .261 | .200 | .461 | |
|
New York Yankees | 13 | 3 | 0 | 0 | .231 | .231 | .231 | .462 | |
|
Pittsburgh Pirates | 13 | 3 | 0 | 1 | .231 | .231 | .231 | .462 | |
|
Detroit Tigers | 13 | 3 | 0 | 1 | .231 | .231 | .231 | .462 | |
 |
Los Angeles Angels | 13 | 3 | 0 | 3 | .231 | .231 | .231 | .462 | |
|
Cleveland Indians | 13 | 3 | 0 | 0 | .231 | .231 | .231 | .462 | |
|
San Francisco Giants | 26 | 4 | 1 | 2 | .154 | .154 | .308 | .462 | |
|
Houston Astros | 13 | 2 | 0 | 1 | .154 | .154 | .308 | .462 | |
|
Arizona Diamondbacks | 13 | 2 | 0 | 1 | .154 | .154 | .308 | .462 | |
|
Kansas City Royals | 26 | 5 | 0 | 0 | .192 | .192 | .269 | .462 | |
|
Los Angeles Angels | 32 | 6 | 0 | 1 | .188 | .212 | .250 | .462 | |
|
Kansas City Royals | 13 | 3 | 0 | 2 | .231 | .231 | .231 | .462 | |
|
Chicago Cubs | 14 | 3 | 0 | 2 | .214 | .250 | .214 | .464 | |
|
Texas Rangers | 14 | 2 | 0 | 2 | .143 | .250 | .214 | .464 |
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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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.