MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Houston Astros | 25 | 5 | 0 | 0 | .200 | .200 | .200 | .400 | |
 |
Los Angeles Dodgers | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
 |
New York Yankees | 10 | 2 | 0 | 1 | .200 | .200 | .200 | .400 | |
 |
Pittsburgh Pirates | 20 | 2 | 0 | 2 | .100 | .250 | .150 | .400 | |
|
Philadelphia Phillies | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
San Diego Padres | 29 | 4 | 0 | 0 | .138 | .194 | .207 | .400 | |
 |
Texas Rangers | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
 |
Milwaukee Brewers | 10 | 2 | 0 | 1 | .200 | .200 | .200 | .400 | |
  |
Toronto Blue Jays | 15 | 3 | 0 | 0 | .200 | .200 | .200 | .400 | |
 |
Detroit Tigers | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
Detroit Tigers | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
 |
Texas Rangers | 15 | 3 | 0 | 2 | .200 | .200 | .200 | .400 | |
|
Kansas City Royals | 32 | 6 | 0 | 0 | .188 | .212 | .188 | .400 | |
|
Los Angeles Dodgers | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
Seattle Mariners | 10 | 2 | 0 | 3 | .200 | .200 | .200 | .400 | |
|
Atlanta Braves | 10 | 2 | 0 | 0 | .200 | .200 | .200 | .400 | |
|
Cleveland Indians | 22 | 3 | 0 | 2 | .136 | .174 | .227 | .401 | |
|
Minnesota Twins | 44 | 5 | 1 | 6 | .114 | .220 | .182 | .402 | |
|
Washington Nationals | 17 | 2 | 0 | 2 | .118 | .286 | .118 | .403 | |
 |
St. Louis Cardinals | 14 | 1 | 1 | 3 | .071 | .118 | .286 | .403 | |
|
Baltimore Orioles | 18 | 2 | 0 | 4 | .111 | .182 | .222 | .404 | |
|
Houston Astros | 13 | 1 | 0 | 2 | .077 | .250 | .154 | .404 | |
 |
Kansas City Royals | 12 | 1 | 0 | 1 | .083 | .154 | .250 | .404 | |
|
Baltimore Orioles | 23 | 3 | 0 | 0 | .130 | .231 | .174 | .405 | |
|
Seattle Mariners | 23 | 3 | 0 | 2 | .130 | .231 | .174 | .405 | |
 |
St. Louis Cardinals | 18 | 2 | 0 | 3 | .111 | .238 | .167 | .405 | |
|
Boston Red Sox | 27 | 5 | 0 | 0 | .185 | .185 | .222 | .407 | |
 |
New York Yankees | 26 | 4 | 0 | 2 | .154 | .214 | .192 | .407 | |
 |
Boston Red Sox | 27 | 4 | 1 | 2 | .148 | .148 | .259 | .407 | |
 |
Cincinnati Reds | 10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
 |
Tampa Bay Rays | 10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
 |
Oakland Athletics | 42 | 6 | 0 | 0 | .143 | .265 | .143 | .408 | |
|
Kansas City Royals | 10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
|
New York Mets | 22 | 3 | 1 | 2 | .136 | .136 | .273 | .409 | |
|
Chicago Cubs | 41 | 8 | 0 | 2 | .195 | .214 | .195 | .409 | |
|
Texas Rangers | 33 | 6 | 0 | 1 | .182 | .229 | .182 | .410 | |
 |
Cleveland Indians | 24 | 3 | 1 | 3 | .125 | .160 | .250 | .410 | |
|
Pittsburgh Pirates | 23 | 3 | 0 | 2 | .130 | .192 | .217 | .410 | |
|
Los Angeles Dodgers | 16 | 2 | 0 | 1 | .125 | .222 | .188 | .410 | |
|
Milwaukee Brewers | 16 | 2 | 0 | 0 | .125 | .222 | .188 | .410 | |
|
Boston Red Sox | 19 | 3 | 0 | 0 | .158 | .200 | .211 | .411 | |
|
Tampa Bay Rays | 15 | 2 | 0 | 3 | .133 | .211 | .200 | .411 | |
|
Seattle Mariners | 15 | 2 | 0 | 0 | .133 | .278 | .133 | .411 | |
|
Milwaukee Brewers | 19 | 4 | 0 | 3 | .211 | .200 | .211 | .411 | |
|
Minnesota Twins | 15 | 2 | 0 | 0 | .133 | .278 | .133 | .411 | |
|
Atlanta Braves | 21 | 2 | 0 | 2 | .095 | .269 | .143 | .412 | |
|
Seattle Mariners | 21 | 2 | 1 | 3 | .095 | .174 | .238 | .412 | |
|
Los Angeles Angels | 17 | 3 | 0 | 3 | .176 | .176 | .235 | .412 | |
|
Atlanta Braves | 34 | 6 | 0 | 2 | .176 | .176 | .235 | .412 | |
|
San Diego Padres | 11 | 2 | 0 | 1 | .182 | .231 | .182 | .413 |
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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DraftKings MLB Optimizer
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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.