MLB Batting Splits 2020
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Cincinnati Reds | 30 | 8 | 1 | 1 | .267 | .333 | .367 | .700 | |
 |
New York Yankees | 21 | 4 | 2 | 7 | .190 | .227 | .476 | .703 | |
 |
New York Yankees | 36 | 10 | 0 | 3 | .278 | .316 | .389 | .705 | |
|
Texas Rangers | 25 | 7 | 1 | 2 | .280 | .308 | .400 | .708 | |
 |
Cleveland Indians | 32 | 7 | 2 | 8 | .219 | .270 | .438 | .708 | |
 |
New York Mets | 11 | 2 | 0 | 0 | .182 | .438 | .273 | .710 | |
  |
Toronto Blue Jays | 14 | 3 | 1 | 2 | .214 | .214 | .500 | .714 | |
|
Arizona Diamondbacks | 11 | 3 | 0 | 3 | .273 | .357 | .364 | .721 | |
 |
Boston Red Sox | 31 | 8 | 1 | 3 | .258 | .303 | .419 | .722 | |
|
Los Angeles Dodgers | 42 | 10 | 2 | 11 | .238 | .256 | .476 | .732 | |
|
Detroit Tigers | 15 | 4 | 1 | 2 | .267 | .267 | .467 | .733 | |
 |
Baltimore Orioles | 31 | 7 | 2 | 4 | .226 | .250 | .484 | .734 | |
 |
Philadelphia Phillies | 32 | 10 | 0 | 5 | .313 | .395 | .344 | .738 | |
|
Los Angeles Dodgers | 13 | 4 | 0 | 0 | .308 | .357 | .385 | .742 | |
 |
San Diego Padres | 23 | 6 | 1 | 4 | .261 | .308 | .435 | .742 | |
 |
Atlanta Braves | 34 | 10 | 1 | 5 | .294 | .333 | .412 | .745 | |
 |
Colorado Rockies | 41 | 9 | 2 | 4 | .220 | .283 | .463 | .746 | |
|
Houston Astros | 36 | 9 | 0 | 0 | .250 | .357 | .389 | .746 | |
|
Los Angeles Angels | 38 | 10 | 1 | 5 | .263 | .300 | .447 | .747 | |
|
Boston Red Sox | 12 | 4 | 0 | 0 | .333 | .333 | .417 | .750 | |
|
Milwaukee Brewers | 34 | 10 | 0 | 4 | .294 | .368 | .382 | .751 | |
|
Chicago White Sox | 28 | 7 | 1 | 3 | .250 | .364 | .393 | .756 | |
|
Milwaukee Brewers | 40 | 10 | 2 | 9 | .250 | .333 | .425 | .758 | |
|
Chicago White Sox | 22 | 6 | 1 | 2 | .273 | .304 | .455 | .759 | |
|
Philadelphia Phillies | 31 | 6 | 3 | 4 | .194 | .242 | .516 | .759 | |
|
Chicago Cubs | 15 | 4 | 1 | 3 | .267 | .294 | .467 | .761 | |
|
Los Angeles Angels | 11 | 2 | 1 | 2 | .182 | .308 | .455 | .762 | |
|
Seattle Mariners | 11 | 2 | 0 | 2 | .182 | .308 | .455 | .762 | |
|
Los Angeles Dodgers | 12 | 4 | 0 | 0 | .333 | .429 | .333 | .762 | |
|
Kansas City Royals | 44 | 11 | 2 | 8 | .250 | .313 | .455 | .767 | |
 |
Chicago White Sox | 13 | 5 | 0 | 1 | .385 | .385 | .385 | .769 | |
|
Miami Marlins | 13 | 5 | 0 | 0 | .385 | .385 | .385 | .769 | |
|
Milwaukee Brewers | 13 | 5 | 0 | 0 | .385 | .385 | .385 | .769 | |
 |
Miami Marlins | 35 | 9 | 2 | 5 | .257 | .316 | .457 | .773 | |
|
San Francisco Giants | 33 | 7 | 3 | 9 | .212 | .289 | .485 | .774 | |
|
Boston Red Sox | 36 | 9 | 1 | 10 | .250 | .357 | .417 | .774 | |
|
Detroit Tigers | 39 | 8 | 3 | 8 | .205 | .262 | .513 | .775 | |
|
Detroit Tigers | 32 | 9 | 1 | 6 | .281 | .368 | .406 | .775 | |
|
Boston Red Sox | 23 | 7 | 0 | 1 | .304 | .385 | .391 | .776 | |
|
Texas Rangers | 11 | 4 | 0 | 1 | .364 | .417 | .364 | .780 | |
|
Toronto Blue Jays | 21 | 5 | 1 | 2 | .238 | .304 | .476 | .781 | |
|
Tampa Bay Rays | 24 | 8 | 0 | 3 | .333 | .407 | .375 | .782 | |
|
Boston Red Sox | 13 | 4 | 0 | 1 | .308 | .400 | .385 | .785 | |
|
Colorado Rockies | 13 | 4 | 0 | 5 | .308 | .400 | .385 | .785 | |
  |
Boston Red Sox | 33 | 11 | 0 | 2 | .333 | .421 | .364 | .785 | |
|
Arizona Diamondbacks | 14 | 3 | 1 | 4 | .214 | .214 | .571 | .786 | |
 |
Los Angeles Dodgers | 14 | 4 | 1 | 2 | .286 | .286 | .500 | .786 | |
|
New York Mets | 29 | 6 | 2 | 7 | .207 | .303 | .483 | .786 | |
|
Miami Marlins | 14 | 4 | 1 | 1 | .286 | .286 | .500 | .786 | |
 |
Houston Astros | 25 | 6 | 1 | 2 | .240 | .387 | .400 | .787 |
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.