MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
15 | 7 | 3 | 4 | .467 | .600 | 1.267 | 1.867 | |
 |
24 | 8 | 3 | 8 | .333 | .467 | .833 | 1.300 | |
 |
12 | 5 | 1 | 1 | .417 | .462 | .833 | 1.295 | |
 |
13 | 5 | 2 | 3 | .385 | .429 | .846 | 1.275 | |
 |
21 | 7 | 3 | 5 | .333 | .417 | .810 | 1.226 | |
 |
15 | 4 | 2 | 6 | .267 | .389 | .800 | 1.189 | |
|
27 | 11 | 1 | 8 | .407 | .467 | .704 | 1.170 | |
|
44 | 17 | 1 | 8 | .386 | .426 | .727 | 1.153 | |
 |
24 | 10 | 1 | 5 | .417 | .481 | .667 | 1.148 | |
|
11 | 4 | 1 | 2 | .364 | .462 | .636 | 1.098 | |
 |
14 | 6 | 1 | 3 | .429 | .429 | .643 | 1.071 | |
 |
17 | 4 | 2 | 2 | .235 | .350 | .706 | 1.056 | |
|
74 | 20 | 6 | 17 | .270 | .365 | .635 | 1.000 | |
 |
41 | 11 | 3 | 6 | .268 | .412 | .585 | .997 | |
|
49 | 16 | 3 | 9 | .327 | .389 | .592 | .981 | |
|
17 | 6 | 1 | 2 | .353 | .389 | .588 | .977 | |
|
26 | 8 | 2 | 5 | .308 | .419 | .538 | .958 | |
|
71 | 21 | 5 | 14 | .296 | .333 | .592 | .925 | |
|
72 | 20 | 5 | 14 | .278 | .384 | .542 | .925 | |
  |
24 | 8 | 2 | 5 | .333 | .333 | .583 | .917 | |
 |
20 | 5 | 2 | 3 | .250 | .318 | .550 | .868 | |
|
12 | 5 | 0 | 2 | .417 | .417 | .417 | .833 | |
 |
29 | 8 | 1 | 4 | .276 | .382 | .448 | .831 | |
|
32 | 11 | 1 | 3 | .344 | .344 | .469 | .813 | |
|
23 | 5 | 2 | 3 | .217 | .333 | .478 | .812 | |
|
62 | 14 | 4 | 14 | .226 | .338 | .452 | .789 | |
|
14 | 5 | 0 | 1 | .357 | .357 | .429 | .786 | |
|
23 | 6 | 1 | 3 | .261 | .292 | .478 | .770 | |
 |
37 | 9 | 1 | 4 | .243 | .349 | .405 | .754 | |
 |
14 | 2 | 0 | 0 | .143 | .400 | .286 | .686 | |
 |
10 | 2 | 0 | 0 | .200 | .273 | .400 | .673 | |
 |
23 | 3 | 2 | 4 | .130 | .192 | .478 | .671 | |
|
10 | 3 | 0 | 0 | .300 | .364 | .300 | .664 | |
 |
23 | 6 | 0 | 1 | .261 | .320 | .304 | .624 | |
|
29 | 7 | 0 | 1 | .241 | .313 | .241 | .554 | |
|
18 | 4 | 0 | 3 | .222 | .263 | .222 | .485 | |
|
28 | 5 | 0 | 4 | .179 | .233 | .214 | .448 | |
|
12 | 1 | 1 | 2 | .083 | .077 | .333 | .410 | |
|
12 | 1 | 0 | 0 | .083 | .214 | .083 | .298 | |
|
13 | 1 | 0 | 0 | .077 | .077 | .077 | .154 |
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.