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 | 22 | 10 | 2 | 6 | .455 | .480 | .955 | 1.435 | |
 |
Detroit Tigers | 16 | 7 | 2 | 6 | .438 | .438 | 1.000 | 1.438 | |
  |
Cincinnati Reds | 10 | 4 | 1 | 2 | .400 | .538 | .900 | 1.438 | |
 |
Los Angeles Dodgers | 23 | 9 | 3 | 8 | .391 | .483 | .957 | 1.439 | |
 |
Cleveland Indians | 19 | 10 | 0 | 1 | .526 | .654 | .789 | 1.443 | |
 |
Los Angeles Angels | 15 | 6 | 3 | 9 | .400 | .444 | 1.000 | 1.444 | |
 |
Colorado Rockies | 10 | 5 | 1 | 2 | .500 | .545 | .900 | 1.445 | |
 |
Kansas City Royals | 11 | 5 | 1 | 2 | .455 | .538 | .909 | 1.448 | |
|
Tampa Bay Rays | 17 | 6 | 4 | 9 | .353 | .389 | 1.059 | 1.448 | |
 |
Los Angeles Dodgers | 21 | 7 | 4 | 6 | .333 | .500 | .952 | 1.452 | |
 |
Seattle Mariners | 12 | 6 | 1 | 3 | .500 | .538 | .917 | 1.455 | |
|
Washington Nationals | 19 | 9 | 2 | 5 | .474 | .565 | .895 | 1.460 | |
|
San Francisco Giants | 14 | 7 | 1 | 6 | .500 | .533 | .929 | 1.462 | |
|
Atlanta Braves | 10 | 3 | 2 | 5 | .300 | .462 | 1.000 | 1.462 | |
 |
Miami Marlins | 11 | 4 | 2 | 2 | .364 | .462 | 1.000 | 1.462 | |
|
New York Yankees | 13 | 7 | 1 | 3 | .538 | .538 | .923 | 1.462 | |
|
Detroit Tigers | 22 | 8 | 3 | 7 | .364 | .517 | .955 | 1.472 | |
|
Baltimore Orioles | 35 | 14 | 6 | 11 | .400 | .447 | 1.029 | 1.476 | |
|
Detroit Tigers | 12 | 7 | 1 | 3 | .583 | .643 | .833 | 1.476 | |
|
Washington Nationals | 10 | 5 | 1 | 3 | .500 | .583 | .900 | 1.483 | |
 |
Cleveland Indians | 10 | 5 | 1 | 5 | .500 | .583 | .900 | 1.483 | |
|
St. Louis Cardinals | 10 | 5 | 1 | 4 | .500 | .583 | .900 | 1.483 | |
|
Seattle Mariners | 24 | 10 | 4 | 9 | .417 | .400 | 1.083 | 1.483 | |
  |
Minnesota Twins | 11 | 7 | 0 | 2 | .636 | .667 | .818 | 1.485 | |
|
Los Angeles Angels | 40 | 19 | 5 | 11 | .475 | .588 | .900 | 1.488 | |
|
Baltimore Orioles | 14 | 7 | 2 | 5 | .500 | .563 | .929 | 1.491 | |
|
Atlanta Braves | 11 | 6 | 1 | 4 | .545 | .583 | .909 | 1.492 | |
 |
Minnesota Twins | 13 | 7 | 1 | 2 | .538 | .571 | .923 | 1.495 | |
 |
Pittsburgh Pirates | 12 | 8 | 0 | 4 | .667 | .667 | .833 | 1.500 | |
|
Washington Nationals | 12 | 5 | 1 | 4 | .417 | .500 | 1.000 | 1.500 | |
|
Toronto Blue Jays | 12 | 5 | 2 | 3 | .417 | .417 | 1.083 | 1.500 | |
|
Chicago Cubs | 12 | 4 | 3 | 6 | .333 | .333 | 1.167 | 1.500 | |
|
Colorado Rockies | 12 | 5 | 2 | 3 | .417 | .500 | 1.000 | 1.500 | |
|
Cincinnati Reds | 10 | 4 | 2 | 2 | .400 | .500 | 1.000 | 1.500 | |
 |
Chicago Cubs | 10 | 4 | 2 | 5 | .400 | .500 | 1.000 | 1.500 | |
 |
Toronto Blue Jays | 10 | 6 | 0 | 2 | .600 | .600 | .900 | 1.500 | |
|
Colorado Rockies | 12 | 5 | 2 | 6 | .417 | .417 | 1.083 | 1.500 | |
|
Chicago Cubs | 13 | 5 | 3 | 6 | .385 | .429 | 1.077 | 1.505 | |
|
Philadelphia Phillies | 17 | 8 | 1 | 4 | .471 | .625 | .882 | 1.507 | |
|
Cincinnati Reds | 11 | 5 | 1 | 4 | .455 | .600 | .909 | 1.509 | |
|
Philadelphia Phillies | 14 | 7 | 2 | 5 | .500 | .588 | .929 | 1.517 | |
|
Los Angeles Dodgers | 11 | 4 | 2 | 3 | .364 | .429 | 1.091 | 1.519 | |
|
Minnesota Twins | 24 | 11 | 4 | 7 | .458 | .519 | 1.000 | 1.519 | |
|
Houston Astros | 22 | 9 | 4 | 8 | .409 | .519 | 1.000 | 1.519 | |
 |
Seattle Mariners | 25 | 13 | 3 | 12 | .520 | .520 | 1.000 | 1.520 | |
|
Colorado Rockies | 13 | 6 | 1 | 6 | .462 | .529 | 1.000 | 1.529 | |
|
Philadelphia Phillies | 17 | 8 | 2 | 5 | .471 | .471 | 1.059 | 1.529 | |
|
Cleveland Indians | 11 | 5 | 1 | 3 | .455 | .538 | 1.000 | 1.538 | |
|
Washington Nationals | 13 | 8 | 1 | 3 | .615 | .615 | .923 | 1.538 | |
|
Washington Nationals | 11 | 4 | 2 | 4 | .364 | .364 | 1.182 | 1.545 |
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.