MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
Texas Rangers | 10 | 0 | 0 | 1 | .000 | .286 | .000 | .286 | |
|
Houston Astros | 23 | 2 | 0 | 1 | .087 | .160 | .130 | .290 | |
  |
Minnesota Twins | 23 | 2 | 0 | 1 | .087 | .160 | .130 | .290 | |
|
Colorado Rockies | 12 | 1 | 0 | 0 | .083 | .214 | .083 | .298 | |
|
New York Mets | 10 | 1 | 0 | 0 | .100 | .100 | .200 | .300 | |
 |
Cleveland Indians | 19 | 2 | 0 | 1 | .105 | .143 | .158 | .301 | |
 |
Los Angeles Dodgers | 23 | 1 | 0 | 0 | .043 | .214 | .087 | .301 | |
 |
Cincinnati Reds | 19 | 2 | 0 | 1 | .105 | .150 | .158 | .308 | |
 |
Tampa Bay Rays | 31 | 2 | 0 | 0 | .065 | .216 | .097 | .313 | |
 |
Los Angeles Angels | 21 | 1 | 0 | 0 | .048 | .231 | .095 | .326 | |
|
New York Mets | 13 | 1 | 0 | 0 | .077 | .250 | .077 | .327 | |
 |
Houston Astros | 12 | 2 | 0 | 1 | .167 | .167 | .167 | .333 | |
 |
Chicago White Sox | 19 | 2 | 0 | 0 | .105 | .227 | .105 | .333 | |
|
Los Angeles Dodgers | 26 | 2 | 1 | 1 | .077 | .143 | .192 | .335 | |
|
San Diego Padres | 11 | 1 | 0 | 2 | .091 | .154 | .182 | .336 | |
 |
Tampa Bay Rays | 13 | 1 | 0 | 3 | .077 | .188 | .154 | .341 | |
|
Atlanta Braves | 14 | 2 | 0 | 1 | .143 | .200 | .143 | .343 | |
|
Baltimore Orioles | 22 | 3 | 0 | 1 | .136 | .208 | .136 | .345 | |
 |
Boston Red Sox | 17 | 1 | 1 | 1 | .059 | .111 | .235 | .346 | |
 |
Minnesota Twins | 24 | 3 | 0 | 3 | .125 | .222 | .125 | .347 | |
|
Miami Marlins | 11 | 2 | 0 | 2 | .182 | .167 | .182 | .348 | |
|
Toronto Blue Jays | 14 | 1 | 0 | 1 | .071 | .278 | .071 | .349 | |
|
Baltimore Orioles | 12 | 1 | 0 | 0 | .083 | .267 | .083 | .350 | |
  |
Washington Nationals | 25 | 4 | 0 | 5 | .160 | .192 | .160 | .352 | |
 |
Arizona Diamondbacks | 25 | 4 | 0 | 1 | .160 | .192 | .160 | .352 | |
|
Philadelphia Phillies | 17 | 3 | 0 | 2 | .176 | .176 | .176 | .353 | |
|
Chicago Cubs | 53 | 6 | 0 | 4 | .113 | .203 | .151 | .354 | |
|
St. Louis Cardinals | 25 | 3 | 0 | 2 | .120 | .241 | .120 | .361 | |
|
Houston Astros | 24 | 3 | 0 | 1 | .125 | .241 | .125 | .366 | |
|
Houston Astros | 13 | 2 | 0 | 0 | .154 | .214 | .154 | .368 | |
|
Detroit Tigers | 13 | 2 | 0 | 2 | .154 | .214 | .154 | .368 | |
|
Baltimore Orioles | 13 | 2 | 0 | 1 | .154 | .214 | .154 | .368 | |
|
Houston Astros | 18 | 1 | 1 | 4 | .056 | .150 | .222 | .372 | |
 |
Los Angeles Dodgers | 15 | 2 | 0 | 2 | .133 | .176 | .200 | .376 | |
|
Chicago White Sox | 11 | 1 | 0 | 1 | .091 | .286 | .091 | .377 | |
|
Philadelphia Phillies | 14 | 1 | 0 | 1 | .071 | .235 | .143 | .378 | |
|
Boston Red Sox | 10 | 1 | 0 | 0 | .100 | .182 | .200 | .382 | |
|
Baltimore Orioles | 18 | 2 | 0 | 2 | .111 | .273 | .111 | .384 | |
|
San Diego Padres | 19 | 2 | 0 | 0 | .105 | .227 | .158 | .385 | |
|
Los Angeles Angels | 16 | 2 | 0 | 1 | .125 | .263 | .125 | .388 | |
|
Houston Astros | 18 | 3 | 0 | 2 | .167 | .167 | .222 | .389 | |
|
St. Louis Cardinals | 20 | 2 | 1 | 2 | .100 | .143 | .250 | .393 | |
 |
San Diego Padres | 12 | 2 | 0 | 1 | .167 | .231 | .167 | .397 | |
|
Seattle Mariners | 12 | 2 | 0 | 0 | .167 | .231 | .167 | .397 | |
|
Washington Nationals | 10 | 2 | 0 | 1 | .200 | .200 | .200 | .400 | |
|
Kansas City Royals | 12 | 2 | 0 | 2 | .167 | .154 | .250 | .404 | |
|
St. Louis Cardinals | 10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
|
Texas Rangers | 10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
|
Milwaukee Brewers | 12 | 1 | 1 | 3 | .083 | .077 | .333 | .410 | |
|
Cleveland Indians | 16 | 2 | 0 | 1 | .125 | .222 | .188 | .410 |
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.