MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Miami Marlins | 11 | 6 | 1 | 3 | .545 | .545 | 1.000 | 1.545 | |
  |
Cincinnati Reds | 11 | 5 | 2 | 4 | .455 | .462 | 1.091 | 1.552 | |
 |
Chicago White Sox | 10 | 4 | 2 | 5 | .400 | .455 | 1.100 | 1.555 | |
 |
San Francisco Giants | 10 | 4 | 1 | 2 | .400 | .455 | 1.100 | 1.555 | |
 |
Kansas City Royals | 12 | 7 | 1 | 6 | .583 | .643 | .917 | 1.560 | |
 |
Atlanta Braves | 34 | 13 | 7 | 11 | .382 | .475 | 1.088 | 1.563 | |
 |
New York Mets | 14 | 7 | 1 | 2 | .500 | .563 | 1.000 | 1.563 | |
|
Chicago White Sox | 10 | 3 | 3 | 4 | .300 | .364 | 1.200 | 1.564 | |
 |
Tampa Bay Rays | 10 | 3 | 3 | 4 | .300 | .364 | 1.200 | 1.564 | |
 |
Kansas City Royals | 20 | 10 | 3 | 5 | .500 | .565 | 1.000 | 1.565 | |
|
Tampa Bay Rays | 10 | 6 | 0 | 3 | .600 | .667 | .900 | 1.567 | |
 |
Kansas City Royals | 14 | 7 | 2 | 4 | .500 | .500 | 1.071 | 1.571 | |
|
Los Angeles Dodgers | 13 | 5 | 3 | 3 | .385 | .429 | 1.154 | 1.582 | |
|
Houston Astros | 12 | 5 | 2 | 2 | .417 | .500 | 1.083 | 1.583 | |
|
Seattle Mariners | 11 | 4 | 2 | 6 | .364 | .500 | 1.091 | 1.591 | |
|
Toronto Blue Jays | 11 | 5 | 2 | 4 | .455 | .500 | 1.091 | 1.591 | |
|
Colorado Rockies | 16 | 6 | 4 | 6 | .375 | .412 | 1.188 | 1.599 | |
|
Cleveland Indians | 13 | 6 | 2 | 5 | .462 | .462 | 1.154 | 1.615 | |
 |
Atlanta Braves | 12 | 6 | 2 | 5 | .500 | .538 | 1.083 | 1.622 | |
 |
Cincinnati Reds | 12 | 5 | 3 | 4 | .417 | .467 | 1.167 | 1.633 | |
|
Chicago White Sox | 11 | 6 | 1 | 3 | .545 | .545 | 1.091 | 1.636 | |
 |
Washington Nationals | 10 | 5 | 2 | 4 | .500 | .545 | 1.100 | 1.645 | |
|
Cleveland Indians | 19 | 9 | 4 | 8 | .474 | .500 | 1.158 | 1.658 | |
|
Philadelphia Phillies | 12 | 5 | 2 | 8 | .417 | .500 | 1.167 | 1.667 | |
|
Milwaukee Brewers | 12 | 5 | 3 | 6 | .417 | .500 | 1.167 | 1.667 | |
|
New York Mets | 22 | 11 | 3 | 10 | .500 | .577 | 1.091 | 1.668 | |
|
Chicago White Sox | 23 | 10 | 4 | 6 | .435 | .629 | 1.043 | 1.672 | |
|
Washington Nationals | 14 | 7 | 3 | 4 | .500 | .467 | 1.214 | 1.681 | |
 |
Colorado Rockies | 10 | 5 | 2 | 4 | .500 | .583 | 1.100 | 1.683 | |
|
Kansas City Royals | 12 | 7 | 2 | 4 | .583 | .615 | 1.083 | 1.699 | |
|
Colorado Rockies | 10 | 5 | 2 | 3 | .500 | .615 | 1.100 | 1.715 | |
|
Baltimore Orioles | 11 | 5 | 2 | 2 | .455 | .538 | 1.182 | 1.720 | |
|
St. Louis Cardinals | 15 | 9 | 2 | 4 | .600 | .600 | 1.133 | 1.733 | |
|
Detroit Tigers | 14 | 7 | 3 | 6 | .500 | .533 | 1.214 | 1.748 | |
 |
Boston Red Sox | 11 | 7 | 1 | 5 | .636 | .667 | 1.091 | 1.758 | |
|
Chicago White Sox | 14 | 7 | 3 | 8 | .500 | .563 | 1.214 | 1.777 | |
|
Los Angeles Angels | 18 | 7 | 5 | 6 | .389 | .560 | 1.222 | 1.782 | |
|
Washington Nationals | 10 | 7 | 1 | 4 | .700 | .692 | 1.100 | 1.792 | |
|
Minnesota Twins | 10 | 6 | 1 | 3 | .600 | .692 | 1.100 | 1.792 | |
|
Chicago Cubs | 11 | 6 | 2 | 6 | .545 | .615 | 1.182 | 1.797 | |
|
Seattle Mariners | 12 | 8 | 1 | 6 | .667 | .714 | 1.083 | 1.798 | |
|
Boston Red Sox | 10 | 7 | 1 | 1 | .700 | .727 | 1.100 | 1.827 | |
|
Houston Astros | 42 | 21 | 9 | 18 | .500 | .543 | 1.286 | 1.829 | |
|
Minnesota Twins | 10 | 6 | 1 | 2 | .600 | .733 | 1.100 | 1.833 | |
 |
Minnesota Twins | 12 | 7 | 2 | 5 | .583 | .667 | 1.167 | 1.833 | |
|
Detroit Tigers | 10 | 6 | 2 | 4 | .600 | .636 | 1.200 | 1.836 | |
|
Colorado Rockies | 10 | 6 | 2 | 5 | .600 | .636 | 1.200 | 1.836 | |
 |
Miami Marlins | 10 | 5 | 2 | 2 | .500 | .545 | 1.300 | 1.845 | |
|
Arizona Diamondbacks | 13 | 7 | 3 | 6 | .538 | .571 | 1.308 | 1.879 | |
|
Arizona Diamondbacks | 10 | 6 | 1 | 7 | .600 | .692 | 1.200 | 1.892 |
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.