MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
21 | 1 | 0 | 0 | .048 | .231 | .095 | .326 | |
 |
16 | 2 | 0 | 1 | .125 | .263 | .125 | .388 | |
 |
19 | 2 | 0 | 3 | .105 | .217 | .211 | .428 | |
 |
11 | 2 | 0 | 0 | .182 | .250 | .182 | .432 | |
 |
22 | 4 | 0 | 1 | .182 | .208 | .227 | .436 | |
|
12 | 2 | 0 | 0 | .167 | .286 | .167 | .452 | |
 |
18 | 3 | 0 | 3 | .167 | .250 | .222 | .472 | |
 |
27 | 4 | 1 | 3 | .148 | .179 | .296 | .475 | |
  |
20 | 3 | 0 | 1 | .150 | .190 | .300 | .490 | |
 |
29 | 6 | 1 | 3 | .207 | .233 | .345 | .578 | |
|
32 | 7 | 1 | 3 | .219 | .219 | .406 | .625 | |
|
16 | 4 | 0 | 0 | .250 | .333 | .313 | .646 | |
  |
27 | 7 | 1 | 6 | .259 | .250 | .407 | .657 | |
 |
20 | 5 | 0 | 2 | .250 | .385 | .300 | .685 | |
|
20 | 6 | 0 | 5 | .300 | .318 | .400 | .718 | |
 |
14 | 2 | 1 | 1 | .143 | .294 | .429 | .723 | |
|
29 | 6 | 2 | 6 | .207 | .207 | .517 | .724 | |
|
16 | 4 | 0 | 0 | .250 | .455 | .313 | .767 | |
 |
13 | 5 | 0 | 2 | .385 | .385 | .385 | .769 | |
|
16 | 4 | 1 | 1 | .250 | .368 | .438 | .806 | |
|
17 | 6 | 0 | 5 | .353 | .353 | .471 | .824 | |
|
55 | 16 | 1 | 8 | .291 | .361 | .473 | .833 | |
|
55 | 13 | 4 | 10 | .236 | .306 | .527 | .834 | |
|
71 | 19 | 5 | 16 | .268 | .373 | .535 | .909 | |
 |
12 | 4 | 0 | 1 | .333 | .333 | .583 | .917 | |
|
73 | 22 | 3 | 12 | .301 | .363 | .562 | .924 | |
|
28 | 10 | 2 | 5 | .357 | .379 | .643 | 1.022 | |
|
10 | 3 | 1 | 1 | .300 | .364 | .700 | 1.064 | |
|
13 | 6 | 0 | 1 | .462 | .462 | .615 | 1.077 | |
|
14 | 7 | 0 | 2 | .500 | .529 | .571 | 1.101 | |
 |
14 | 7 | 0 | 0 | .500 | .533 | .571 | 1.105 | |
|
65 | 21 | 9 | 17 | .323 | .423 | .754 | 1.177 | |
|
11 | 5 | 1 | 2 | .455 | .462 | .727 | 1.189 | |
 |
15 | 7 | 1 | 6 | .467 | .529 | .733 | 1.263 | |
|
12 | 4 | 2 | 2 | .333 | .467 | .833 | 1.300 | |
|
13 | 5 | 1 | 5 | .385 | .385 | .923 | 1.308 | |
|
11 | 4 | 2 | 5 | .364 | .417 | .909 | 1.326 | |
|
15 | 5 | 3 | 5 | .333 | .412 | .933 | 1.345 | |
|
10 | 5 | 1 | 1 | .500 | .583 | .900 | 1.483 |
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.
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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.