MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
11 | 4 | 2 | 4 | .364 | .500 | 1.000 | 1.500 | |
 |
15 | 4 | 1 | 2 | .267 | .389 | .600 | .989 | |
 |
14 | 6 | 0 | 1 | .429 | .467 | .500 | .967 | |
 |
27 | 8 | 2 | 8 | .296 | .441 | .519 | .960 | |
 |
16 | 6 | 0 | 5 | .375 | .444 | .500 | .944 | |
|
12 | 5 | 0 | 1 | .417 | .417 | .500 | .917 | |
 |
14 | 3 | 1 | 2 | .214 | .389 | .500 | .889 | |
|
24 | 5 | 2 | 5 | .208 | .345 | .542 | .886 | |
 |
56 | 16 | 3 | 11 | .286 | .317 | .536 | .852 | |
|
51 | 16 | 2 | 4 | .314 | .375 | .471 | .846 | |
|
27 | 7 | 2 | 4 | .259 | .286 | .556 | .841 | |
  |
11 | 3 | 0 | 0 | .273 | .385 | .455 | .839 | |
|
29 | 7 | 2 | 3 | .241 | .281 | .552 | .833 | |
 |
25 | 8 | 0 | 2 | .320 | .393 | .440 | .833 | |
|
15 | 4 | 1 | 5 | .267 | .353 | .467 | .820 | |
|
71 | 19 | 3 | 9 | .268 | .338 | .479 | .816 | |
|
34 | 6 | 3 | 4 | .176 | .317 | .441 | .758 | |
|
25 | 6 | 1 | 4 | .240 | .296 | .440 | .736 | |
|
25 | 5 | 2 | 7 | .200 | .286 | .440 | .726 | |
|
51 | 12 | 1 | 9 | .235 | .291 | .412 | .703 | |
 |
58 | 14 | 2 | 10 | .241 | .274 | .414 | .688 | |
|
55 | 11 | 3 | 7 | .200 | .274 | .382 | .656 | |
|
66 | 13 | 2 | 5 | .197 | .254 | .394 | .647 | |
|
19 | 5 | 0 | 1 | .263 | .300 | .316 | .616 | |
|
77 | 18 | 1 | 10 | .234 | .268 | .325 | .593 | |
  |
58 | 12 | 1 | 5 | .207 | .292 | .293 | .585 | |
 |
14 | 3 | 0 | 0 | .214 | .313 | .214 | .527 | |
 |
18 | 2 | 0 | 1 | .111 | .190 | .278 | .468 | |
|
12 | 2 | 0 | 0 | .167 | .286 | .167 | .452 | |
|
25 | 5 | 0 | 1 | .200 | .200 | .240 | .440 | |
|
13 | 1 | 0 | 3 | .077 | .188 | .154 | .341 | |
|
31 | 2 | 0 | 0 | .065 | .216 | .097 | .313 | |
|
12 | 1 | 0 | 0 | .083 | .154 | .083 | .237 | |
|
12 | 1 | 0 | 0 | .083 | .083 | .083 | .167 | |
|
10 | 0 | 0 | 0 | .000 | .091 | .000 | .091 | |
 |
11 | 0 | 0 | 0 | .000 | .000 | .000 | .000 |
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.