MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
14 | 6 | 2 | 4 | .429 | .429 | 1.000 | 1.429 | |
 |
64 | 22 | 8 | 22 | .344 | .500 | .844 | 1.344 | |
  |
16 | 6 | 2 | 3 | .375 | .444 | .813 | 1.257 | |
 |
31 | 15 | 1 | 7 | .484 | .529 | .710 | 1.239 | |
 |
20 | 7 | 1 | 3 | .350 | .500 | .600 | 1.100 | |
  |
10 | 3 | 1 | 2 | .300 | .300 | .800 | 1.100 | |
|
64 | 21 | 5 | 14 | .328 | .403 | .672 | 1.075 | |
|
35 | 13 | 1 | 14 | .371 | .439 | .629 | 1.068 | |
|
27 | 6 | 4 | 8 | .222 | .323 | .704 | 1.026 | |
 |
23 | 9 | 1 | 2 | .391 | .440 | .565 | 1.005 | |
|
11 | 4 | 0 | 0 | .364 | .417 | .545 | .962 | |
|
73 | 23 | 6 | 11 | .315 | .312 | .630 | .942 | |
 |
11 | 3 | 1 | 1 | .273 | .273 | .636 | .909 | |
|
22 | 9 | 0 | 2 | .409 | .409 | .500 | .909 | |
 |
15 | 5 | 1 | 2 | .333 | .375 | .533 | .908 | |
|
28 | 10 | 0 | 9 | .357 | .357 | .536 | .893 | |
|
26 | 7 | 1 | 4 | .269 | .424 | .462 | .886 | |
|
64 | 18 | 4 | 13 | .281 | .329 | .547 | .875 | |
 |
11 | 4 | 0 | 0 | .364 | .417 | .455 | .871 | |
|
19 | 5 | 1 | 2 | .263 | .333 | .526 | .860 | |
|
25 | 8 | 1 | 1 | .320 | .346 | .480 | .826 | |
 |
23 | 6 | 1 | 1 | .261 | .346 | .478 | .824 | |
|
45 | 13 | 1 | 6 | .289 | .327 | .444 | .771 | |
|
49 | 11 | 2 | 7 | .224 | .321 | .388 | .709 | |
|
18 | 4 | 1 | 4 | .222 | .263 | .444 | .708 | |
|
20 | 5 | 1 | 4 | .250 | .238 | .450 | .688 | |
|
26 | 5 | 2 | 6 | .192 | .222 | .462 | .684 | |
|
25 | 5 | 1 | 3 | .200 | .323 | .320 | .643 | |
|
14 | 3 | 1 | 3 | .214 | .214 | .429 | .643 | |
|
23 | 4 | 1 | 1 | .174 | .240 | .391 | .631 | |
|
20 | 5 | 0 | 0 | .250 | .318 | .300 | .618 | |
|
24 | 4 | 1 | 2 | .167 | .231 | .292 | .522 | |
|
22 | 4 | 0 | 1 | .182 | .208 | .227 | .436 | |
|
12 | 2 | 0 | 0 | .167 | .231 | .167 | .397 | |
|
16 | 1 | 0 | 0 | .063 | .063 | .063 | .125 | |
|
15 | 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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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.