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 | 36 | 12 | 3 | 8 | .333 | .419 | .639 | 1.057 | |
 |
Milwaukee Brewers | 10 | 4 | 1 | 6 | .400 | .357 | .700 | 1.057 | |
  |
Tampa Bay Rays | 22 | 7 | 2 | 5 | .318 | .375 | .682 | 1.057 | |
 |
Tampa Bay Rays | 21 | 7 | 2 | 7 | .333 | .391 | .667 | 1.058 | |
 |
Colorado Rockies | 12 | 3 | 2 | 4 | .250 | .308 | .750 | 1.058 | |
 |
Arizona Diamondbacks | 12 | 3 | 2 | 3 | .250 | .308 | .750 | 1.058 | |
 |
San Diego Padres | 12 | 3 | 2 | 3 | .250 | .308 | .750 | 1.058 | |
 |
Los Angeles Angels | 17 | 6 | 1 | 5 | .353 | .353 | .706 | 1.059 | |
|
Los Angeles Dodgers | 21 | 7 | 2 | 3 | .333 | .440 | .619 | 1.059 | |
 |
Toronto Blue Jays | 20 | 7 | 2 | 3 | .350 | .409 | .650 | 1.059 | |
 |
Baltimore Orioles | 41 | 14 | 3 | 14 | .341 | .426 | .634 | 1.060 | |
 |
Kansas City Royals | 11 | 3 | 1 | 3 | .273 | .333 | .727 | 1.061 | |
 |
Cincinnati Reds | 11 | 3 | 1 | 3 | .273 | .333 | .727 | 1.061 | |
|
Seattle Mariners | 18 | 7 | 1 | 4 | .389 | .450 | .611 | 1.061 | |
|
Toronto Blue Jays | 18 | 7 | 1 | 2 | .389 | .450 | .611 | 1.061 | |
|
Los Angeles Dodgers | 11 | 3 | 1 | 2 | .273 | .333 | .727 | 1.061 | |
|
Arizona Diamondbacks | 10 | 3 | 1 | 2 | .300 | .462 | .600 | 1.062 | |
|
Los Angeles Dodgers | 10 | 3 | 1 | 1 | .300 | .462 | .600 | 1.062 | |
 |
Cleveland Indians | 41 | 13 | 3 | 9 | .317 | .356 | .707 | 1.063 | |
|
Colorado Rockies | 25 | 10 | 2 | 4 | .400 | .423 | .640 | 1.063 | |
|
Milwaukee Brewers | 16 | 5 | 2 | 2 | .313 | .313 | .750 | 1.063 | |
 |
Texas Rangers | 16 | 6 | 1 | 4 | .375 | .500 | .563 | 1.063 | |
  |
Arizona Diamondbacks | 46 | 16 | 3 | 11 | .348 | .434 | .630 | 1.064 | |
|
Minnesota Twins | 10 | 3 | 1 | 1 | .300 | .364 | .700 | 1.064 | |
|
Detroit Tigers | 10 | 3 | 1 | 2 | .300 | .364 | .700 | 1.064 | |
|
Washington Nationals | 38 | 13 | 3 | 13 | .342 | .381 | .684 | 1.065 | |
|
Los Angeles Dodgers | 19 | 6 | 2 | 4 | .316 | .381 | .684 | 1.065 | |
|
Washington Nationals | 11 | 3 | 1 | 3 | .273 | .429 | .636 | 1.065 | |
|
Oakland Athletics | 11 | 4 | 1 | 3 | .364 | .429 | .636 | 1.065 | |
|
St. Louis Cardinals | 29 | 9 | 2 | 6 | .310 | .375 | .690 | 1.065 | |
|
St. Louis Cardinals | 14 | 5 | 1 | 1 | .357 | .357 | .714 | 1.071 | |
|
Miami Marlins | 14 | 4 | 2 | 6 | .286 | .286 | .786 | 1.071 | |
|
Washington Nationals | 10 | 5 | 0 | 2 | .500 | .571 | .500 | 1.071 | |
|
Colorado Rockies | 14 | 6 | 0 | 5 | .429 | .429 | .643 | 1.071 | |
|
Seattle Mariners | 14 | 6 | 0 | 1 | .429 | .429 | .643 | 1.071 | |
|
Atlanta Braves | 42 | 13 | 4 | 9 | .310 | .383 | .690 | 1.073 | |
|
New York Yankees | 37 | 14 | 2 | 10 | .378 | .425 | .649 | 1.074 | |
|
Miami Marlins | 29 | 11 | 1 | 5 | .379 | .419 | .655 | 1.075 | |
 |
St. Louis Cardinals | 33 | 10 | 4 | 9 | .303 | .378 | .697 | 1.075 | |
 |
Chicago Cubs | 13 | 4 | 2 | 5 | .308 | .308 | .769 | 1.077 | |
|
New York Mets | 13 | 6 | 0 | 1 | .462 | .462 | .615 | 1.077 | |
|
Chicago Cubs | 13 | 4 | 2 | 2 | .308 | .308 | .769 | 1.077 | |
|
Philadelphia Phillies | 13 | 4 | 2 | 3 | .308 | .308 | .769 | 1.077 | |
|
Minnesota Twins | 34 | 10 | 4 | 14 | .294 | .342 | .735 | 1.077 | |
|
Seattle Mariners | 13 | 4 | 2 | 6 | .308 | .308 | .769 | 1.077 | |
|
Atlanta Braves | 13 | 5 | 1 | 3 | .385 | .385 | .692 | 1.077 | |
|
Philadelphia Phillies | 13 | 4 | 2 | 4 | .308 | .308 | .769 | 1.077 | |
|
Boston Red Sox | 13 | 5 | 1 | 5 | .385 | .385 | .692 | 1.077 | |
 |
Washington Nationals | 22 | 6 | 3 | 6 | .273 | .304 | .773 | 1.077 | |
|
New York Mets | 13 | 5 | 1 | 5 | .385 | .385 | .692 | 1.077 |
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.