MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Los Angeles Dodgers | 13 | 7 | 0 | 1 | .538 | .538 | .769 | 1.308 | |
 |
Arizona Diamondbacks | 12 | 3 | 3 | 8 | .250 | .308 | 1.000 | 1.308 | |
 |
Washington Nationals | 12 | 4 | 2 | 9 | .333 | .308 | 1.000 | 1.308 | |
 |
Houston Astros | 36 | 16 | 4 | 7 | .444 | .447 | .861 | 1.308 | |
|
Texas Rangers | 18 | 7 | 2 | 5 | .389 | .476 | .833 | 1.310 | |
 |
Houston Astros | 11 | 6 | 0 | 1 | .545 | .583 | .727 | 1.311 | |
 |
Colorado Rockies | 44 | 16 | 7 | 15 | .364 | .426 | .886 | 1.312 | |
 |
Detroit Tigers | 13 | 5 | 2 | 4 | .385 | .467 | .846 | 1.313 | |
 |
Boston Red Sox | 10 | 5 | 0 | 1 | .500 | .615 | .700 | 1.315 | |
|
Milwaukee Brewers | 10 | 3 | 2 | 3 | .300 | .417 | .900 | 1.317 | |
  |
Houston Astros | 12 | 4 | 2 | 4 | .333 | .400 | .917 | 1.317 | |
|
Philadelphia Phillies | 11 | 5 | 1 | 1 | .455 | .500 | .818 | 1.318 | |
|
Seattle Mariners | 11 | 4 | 1 | 4 | .364 | .500 | .818 | 1.318 | |
|
Colorado Rockies | 14 | 7 | 1 | 2 | .500 | .533 | .786 | 1.319 | |
|
Baltimore Orioles | 17 | 9 | 1 | 4 | .529 | .556 | .765 | 1.320 | |
 |
St. Louis Cardinals | 12 | 6 | 0 | 2 | .500 | .571 | .750 | 1.321 | |
|
Los Angeles Dodgers | 14 | 6 | 2 | 6 | .429 | .467 | .857 | 1.324 | |
  |
Cleveland Indians | 11 | 4 | 2 | 3 | .364 | .417 | .909 | 1.326 | |
 |
Miami Marlins | 11 | 4 | 2 | 2 | .364 | .417 | .909 | 1.326 | |
|
Tampa Bay Rays | 11 | 4 | 2 | 3 | .364 | .417 | .909 | 1.326 | |
|
New York Yankees | 20 | 9 | 2 | 4 | .450 | .476 | .850 | 1.326 | |
 |
Colorado Rockies | 35 | 14 | 6 | 15 | .400 | .385 | .943 | 1.327 | |
|
Texas Rangers | 27 | 12 | 2 | 3 | .444 | .516 | .815 | 1.331 | |
|
New York Mets | 23 | 12 | 0 | 2 | .522 | .593 | .739 | 1.332 | |
 |
Washington Nationals | 12 | 4 | 2 | 7 | .333 | .333 | 1.000 | 1.333 | |
 |
Miami Marlins | 12 | 5 | 1 | 2 | .417 | .417 | .917 | 1.333 | |
|
Oakland Athletics | 12 | 5 | 1 | 3 | .417 | .500 | .833 | 1.333 | |
 |
San Francisco Giants | 12 | 6 | 1 | 2 | .500 | .500 | .833 | 1.333 | |
|
Detroit Tigers | 22 | 13 | 0 | 3 | .591 | .700 | .636 | 1.336 | |
 |
Oakland Athletics | 10 | 4 | 1 | 2 | .400 | .538 | .800 | 1.338 | |
|
St. Louis Cardinals | 10 | 4 | 1 | 2 | .400 | .538 | .800 | 1.338 | |
|
Los Angeles Angels | 24 | 9 | 4 | 6 | .375 | .464 | .875 | 1.339 | |
|
Washington Nationals | 23 | 7 | 3 | 10 | .304 | .385 | .957 | 1.341 | |
|
Colorado Rockies | 16 | 8 | 1 | 5 | .500 | .529 | .813 | 1.342 | |
|
New York Mets | 36 | 19 | 2 | 7 | .528 | .564 | .778 | 1.342 | |
|
Oakland Athletics | 12 | 4 | 2 | 2 | .333 | .429 | .917 | 1.345 | |
|
Boston Red Sox | 10 | 5 | 1 | 2 | .500 | .545 | .800 | 1.345 | |
|
Kansas City Royals | 12 | 4 | 2 | 2 | .333 | .429 | .917 | 1.345 | |
|
Baltimore Orioles | 13 | 6 | 1 | 1 | .462 | .500 | .846 | 1.346 | |
|
Minnesota Twins | 13 | 6 | 1 | 2 | .462 | .500 | .846 | 1.346 | |
|
Minnesota Twins | 13 | 6 | 1 | 2 | .462 | .500 | .846 | 1.346 | |
|
San Diego Padres | 16 | 6 | 3 | 5 | .375 | .412 | .938 | 1.349 | |
|
Atlanta Braves | 36 | 15 | 4 | 13 | .417 | .488 | .861 | 1.349 | |
|
Houston Astros | 20 | 8 | 3 | 5 | .400 | .500 | .850 | 1.350 | |
|
Tampa Bay Rays | 17 | 8 | 2 | 5 | .471 | .526 | .824 | 1.350 | |
 |
Detroit Tigers | 13 | 5 | 2 | 3 | .385 | .429 | .923 | 1.352 | |
|
Washington Nationals | 13 | 5 | 2 | 4 | .385 | .429 | .923 | 1.352 | |
|
Cleveland Indians | 23 | 9 | 2 | 6 | .391 | .440 | .913 | 1.353 | |
 |
Chicago Cubs | 14 | 7 | 1 | 5 | .500 | .500 | .857 | 1.357 | |
|
Detroit Tigers | 21 | 9 | 3 | 6 | .429 | .500 | .857 | 1.357 |
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.
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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.