MLB Batting Splits 2020
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Los Angeles Dodgers | 42 | 10 | 2 | 11 | .238 | .256 | .476 | .732 | |
 |
Boston Red Sox | 31 | 8 | 1 | 3 | .258 | .303 | .419 | .722 | |
 |
Arizona Diamondbacks | 11 | 3 | 0 | 3 | .273 | .357 | .364 | .721 | |
  |
Toronto Blue Jays | 14 | 3 | 1 | 2 | .214 | .214 | .500 | .714 | |
 |
New York Mets | 11 | 2 | 0 | 0 | .182 | .438 | .273 | .710 | |
 |
Cleveland Indians | 32 | 7 | 2 | 8 | .219 | .270 | .438 | .708 | |
|
Texas Rangers | 25 | 7 | 1 | 2 | .280 | .308 | .400 | .708 | |
|
New York Yankees | 36 | 10 | 0 | 3 | .278 | .316 | .389 | .705 | |
 |
New York Yankees | 21 | 4 | 2 | 7 | .190 | .227 | .476 | .703 | |
|
Cincinnati Reds | 30 | 8 | 1 | 1 | .267 | .333 | .367 | .700 | |
|
Colorado Rockies | 23 | 5 | 1 | 2 | .217 | .308 | .391 | .699 | |
|
Los Angeles Dodgers | 38 | 9 | 2 | 6 | .237 | .275 | .421 | .696 | |
 |
Atlanta Braves | 15 | 3 | 0 | 2 | .200 | .294 | .400 | .694 | |
 |
San Francisco Giants | 15 | 3 | 1 | 3 | .200 | .294 | .400 | .694 | |
 |
San Diego Padres | 13 | 4 | 0 | 2 | .308 | .308 | .385 | .692 | |
|
San Diego Padres | 14 | 2 | 1 | 2 | .143 | .333 | .357 | .690 | |
|
San Diego Padres | 28 | 4 | 3 | 6 | .143 | .226 | .464 | .690 | |
|
Los Angeles Angels | 28 | 5 | 1 | 1 | .179 | .258 | .429 | .687 | |
|
Pittsburgh Pirates | 29 | 5 | 2 | 6 | .172 | .273 | .414 | .687 | |
 |
Miami Marlins | 27 | 5 | 1 | 4 | .185 | .353 | .333 | .686 | |
 |
Milwaukee Brewers | 15 | 4 | 0 | 1 | .267 | .353 | .333 | .686 | |
|
Philadelphia Phillies | 13 | 4 | 0 | 2 | .308 | .375 | .308 | .683 | |
 |
New York Yankees | 18 | 5 | 0 | 1 | .278 | .350 | .333 | .683 | |
|
Atlanta Braves | 30 | 7 | 0 | 2 | .233 | .314 | .367 | .681 | |
|
Miami Marlins | 33 | 7 | 2 | 5 | .212 | .257 | .424 | .681 | |
 |
Arizona Diamondbacks | 34 | 7 | 1 | 1 | .206 | .357 | .324 | .681 | |
|
Seattle Mariners | 39 | 9 | 1 | 5 | .231 | .318 | .359 | .677 | |
|
San Francisco Giants | 41 | 11 | 0 | 2 | .268 | .333 | .341 | .675 | |
|
Atlanta Braves | 31 | 7 | 0 | 3 | .226 | .415 | .258 | .673 | |
|
Los Angeles Angels | 16 | 4 | 0 | 3 | .250 | .294 | .375 | .669 | |
|
New York Yankees | 28 | 7 | 1 | 2 | .250 | .276 | .393 | .669 | |
|
Toronto Blue Jays | 36 | 6 | 2 | 7 | .167 | .250 | .417 | .667 | |
|
Oakland Athletics | 12 | 3 | 0 | 2 | .250 | .250 | .417 | .667 | |
 |
Oakland Athletics | 12 | 3 | 0 | 0 | .250 | .250 | .417 | .667 | |
|
Los Angeles Angels | 18 | 5 | 0 | 4 | .278 | .278 | .389 | .667 | |
|
San Diego Padres | 12 | 3 | 0 | 0 | .250 | .250 | .417 | .667 | |
|
New York Mets | 10 | 3 | 0 | 1 | .300 | .364 | .300 | .664 | |
|
Miami Marlins | 10 | 3 | 0 | 2 | .300 | .364 | .300 | .664 | |
|
Texas Rangers | 31 | 6 | 0 | 3 | .194 | .405 | .258 | .663 | |
 |
Oakland Athletics | 12 | 3 | 0 | 1 | .250 | .412 | .250 | .662 | |
|
Baltimore Orioles | 40 | 9 | 2 | 5 | .225 | .262 | .400 | .662 | |
|
Colorado Rockies | 14 | 4 | 0 | 0 | .286 | .375 | .286 | .661 | |
|
Minnesota Twins | 25 | 4 | 1 | 4 | .160 | .300 | .360 | .660 | |
 |
Miami Marlins | 28 | 5 | 2 | 7 | .179 | .194 | .464 | .658 | |
|
Cleveland Indians | 41 | 8 | 1 | 1 | .195 | .267 | .390 | .657 | |
|
Chicago Cubs | 34 | 6 | 1 | 5 | .176 | .333 | .324 | .657 | |
|
San Francisco Giants | 11 | 3 | 0 | 2 | .273 | .385 | .273 | .657 | |
|
Tampa Bay Rays | 21 | 5 | 1 | 4 | .238 | .273 | .381 | .654 | |
|
New York Yankees | 24 | 3 | 2 | 4 | .125 | .276 | .375 | .651 | |
|
Los Angeles Angels | 12 | 3 | 0 | 0 | .250 | .400 | .250 | .650 |
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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DraftKings MLB Optimizer
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MLB DFS Stacks
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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.