MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
  |
Washington Nationals | 25 | 4 | 0 | 5 | .160 | .192 | .160 | .352 | |
 |
Baltimore Orioles | 12 | 1 | 0 | 0 | .083 | .267 | .083 | .350 | |
 |
Toronto Blue Jays | 14 | 1 | 0 | 1 | .071 | .278 | .071 | .349 | |
|
Miami Marlins | 11 | 2 | 0 | 2 | .182 | .167 | .182 | .348 | |
 |
Minnesota Twins | 24 | 3 | 0 | 3 | .125 | .222 | .125 | .347 | |
 |
Boston Red Sox | 17 | 1 | 1 | 1 | .059 | .111 | .235 | .346 | |
|
Baltimore Orioles | 22 | 3 | 0 | 1 | .136 | .208 | .136 | .345 | |
 |
Atlanta Braves | 14 | 2 | 0 | 1 | .143 | .200 | .143 | .343 | |
|
Tampa Bay Rays | 13 | 1 | 0 | 3 | .077 | .188 | .154 | .341 | |
 |
San Diego Padres | 11 | 1 | 0 | 2 | .091 | .154 | .182 | .336 | |
|
Los Angeles Dodgers | 26 | 2 | 1 | 1 | .077 | .143 | .192 | .335 | |
|
Chicago White Sox | 19 | 2 | 0 | 0 | .105 | .227 | .105 | .333 | |
 |
Houston Astros | 12 | 2 | 0 | 1 | .167 | .167 | .167 | .333 | |
|
New York Mets | 13 | 1 | 0 | 0 | .077 | .250 | .077 | .327 | |
 |
Los Angeles Angels | 21 | 1 | 0 | 0 | .048 | .231 | .095 | .326 | |
|
Tampa Bay Rays | 31 | 2 | 0 | 0 | .065 | .216 | .097 | .313 | |
 |
Cincinnati Reds | 19 | 2 | 0 | 1 | .105 | .150 | .158 | .308 | |
 |
Cleveland Indians | 19 | 2 | 0 | 1 | .105 | .143 | .158 | .301 | |
 |
Los Angeles Dodgers | 23 | 1 | 0 | 0 | .043 | .214 | .087 | .301 | |
|
New York Mets | 10 | 1 | 0 | 0 | .100 | .100 | .200 | .300 | |
|
Colorado Rockies | 12 | 1 | 0 | 0 | .083 | .214 | .083 | .298 | |
  |
Minnesota Twins | 23 | 2 | 0 | 1 | .087 | .160 | .130 | .290 | |
|
Houston Astros | 23 | 2 | 0 | 1 | .087 | .160 | .130 | .290 | |
|
Texas Rangers | 10 | 0 | 0 | 1 | .000 | .286 | .000 | .286 | |
 |
Pittsburgh Pirates | 14 | 2 | 0 | 0 | .143 | .143 | .143 | .286 | |
|
New York Yankees | 10 | 1 | 0 | 0 | .100 | .182 | .100 | .282 | |
 |
Boston Red Sox | 10 | 1 | 0 | 1 | .100 | .182 | .100 | .282 | |
|
Los Angeles Dodgers | 14 | 2 | 0 | 3 | .143 | .133 | .143 | .276 | |
|
Los Angeles Dodgers | 25 | 2 | 0 | 1 | .080 | .115 | .160 | .275 | |
|
Detroit Tigers | 22 | 3 | 0 | 3 | .136 | .136 | .136 | .273 | |
|
Detroit Tigers | 19 | 1 | 0 | 0 | .053 | .217 | .053 | .270 | |
|
Pittsburgh Pirates | 11 | 1 | 0 | 0 | .091 | .167 | .091 | .258 | |
|
Kansas City Royals | 16 | 2 | 0 | 1 | .125 | .118 | .125 | .243 | |
|
Tampa Bay Rays | 12 | 1 | 0 | 0 | .083 | .154 | .083 | .237 | |
|
Minnesota Twins | 16 | 1 | 0 | 2 | .063 | .111 | .125 | .236 | |
|
Los Angeles Dodgers | 21 | 2 | 0 | 1 | .095 | .136 | .095 | .232 | |
|
Cleveland Indians | 26 | 2 | 0 | 1 | .077 | .111 | .115 | .226 | |
|
Boston Red Sox | 13 | 1 | 0 | 0 | .077 | .143 | .077 | .220 | |
 |
Los Angeles Dodgers | 13 | 1 | 0 | 1 | .077 | .143 | .077 | .220 | |
 |
Cincinnati Reds | 13 | 1 | 0 | 0 | .077 | .143 | .077 | .220 | |
|
Cincinnati Reds | 11 | 0 | 0 | 2 | .000 | .214 | .000 | .214 | |
|
Los Angeles Dodgers | 11 | 0 | 0 | 2 | .000 | .214 | .000 | .214 | |
|
Miami Marlins | 10 | 1 | 0 | 0 | .100 | .100 | .100 | .200 | |
|
New York Mets | 10 | 1 | 0 | 1 | .100 | .100 | .100 | .200 | |
|
Washington Nationals | 15 | 1 | 0 | 1 | .067 | .125 | .067 | .192 | |
|
Kansas City Royals | 11 | 1 | 0 | 2 | .091 | .091 | .091 | .182 | |
|
Houston Astros | 11 | 1 | 0 | 0 | .091 | .091 | .091 | .182 | |
|
New York Mets | 11 | 1 | 0 | 1 | .091 | .091 | .091 | .182 | |
|
Chicago White Sox | 10 | 0 | 0 | 0 | .000 | .167 | .000 | .167 | |
|
Tampa Bay Rays | 12 | 1 | 0 | 0 | .083 | .083 | .083 | .167 |
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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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.