MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
13 | 7 | 0 | 0 | .538 | .600 | .538 | 1.138 | |
 |
73 | 24 | 7 | 20 | .329 | .430 | .685 | 1.115 | |
 |
31 | 11 | 3 | 8 | .355 | .394 | .710 | 1.104 | |
 |
11 | 2 | 2 | 2 | .182 | .357 | .727 | 1.084 | |
 |
28 | 9 | 2 | 4 | .321 | .424 | .643 | 1.067 | |
 |
53 | 20 | 1 | 9 | .377 | .421 | .585 | 1.006 | |
|
30 | 8 | 4 | 5 | .267 | .290 | .700 | .990 | |
 |
25 | 7 | 2 | 4 | .280 | .357 | .600 | .957 | |
 |
22 | 5 | 3 | 6 | .227 | .320 | .636 | .956 | |
 |
61 | 14 | 4 | 12 | .230 | .413 | .525 | .937 | |
|
26 | 9 | 1 | 3 | .346 | .393 | .538 | .931 | |
|
19 | 7 | 0 | 1 | .368 | .500 | .368 | .868 | |
 |
72 | 22 | 1 | 13 | .306 | .412 | .444 | .856 | |
 |
12 | 4 | 0 | 2 | .333 | .333 | .500 | .833 | |
 |
23 | 7 | 0 | 3 | .304 | .484 | .348 | .832 | |
 |
64 | 17 | 2 | 11 | .266 | .338 | .469 | .807 | |
|
12 | 3 | 0 | 1 | .250 | .471 | .333 | .804 | |
|
83 | 28 | 1 | 12 | .337 | .333 | .458 | .791 | |
 |
25 | 7 | 0 | 4 | .280 | .333 | .440 | .773 | |
 |
13 | 5 | 0 | 1 | .385 | .385 | .385 | .769 | |
|
12 | 3 | 1 | 5 | .250 | .250 | .500 | .750 | |
|
20 | 6 | 0 | 1 | .300 | .391 | .350 | .741 | |
|
11 | 2 | 1 | 1 | .182 | .182 | .545 | .727 | |
|
12 | 4 | 0 | 2 | .333 | .385 | .333 | .718 | |
  |
28 | 7 | 1 | 2 | .250 | .276 | .429 | .704 | |
 |
27 | 6 | 1 | 2 | .222 | .300 | .370 | .670 | |
|
15 | 3 | 1 | 3 | .200 | .188 | .467 | .654 | |
|
18 | 4 | 0 | 2 | .222 | .300 | .333 | .633 | |
|
11 | 2 | 0 | 2 | .182 | .357 | .273 | .630 | |
|
10 | 2 | 0 | 2 | .200 | .429 | .200 | .629 | |
|
23 | 3 | 2 | 4 | .130 | .231 | .391 | .622 | |
|
13 | 2 | 1 | 2 | .154 | .214 | .385 | .599 | |
|
13 | 2 | 0 | 1 | .154 | .214 | .308 | .522 | |
 |
13 | 3 | 0 | 0 | .231 | .231 | .231 | .462 | |
|
14 | 2 | 0 | 1 | .143 | .200 | .143 | .343 | |
|
13 | 1 | 0 | 1 | .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.
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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.