MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
28 | 13 | 4 | 14 | .464 | .545 | 1.000 | 1.545 | |
 |
10 | 4 | 2 | 6 | .400 | .417 | 1.100 | 1.517 | |
 |
12 | 6 | 0 | 4 | .500 | .500 | .833 | 1.333 | |
 |
68 | 29 | 8 | 28 | .426 | .466 | .853 | 1.319 | |
 |
20 | 9 | 1 | 4 | .450 | .450 | .850 | 1.300 | |
 |
24 | 9 | 3 | 7 | .375 | .464 | .833 | 1.298 | |
|
52 | 21 | 4 | 7 | .404 | .492 | .673 | 1.165 | |
 |
23 | 8 | 2 | 4 | .348 | .423 | .609 | 1.032 | |
  |
11 | 5 | 0 | 0 | .455 | .455 | .545 | 1.000 | |
|
59 | 18 | 4 | 11 | .305 | .406 | .576 | .982 | |
|
76 | 27 | 2 | 13 | .355 | .424 | .539 | .963 | |
 |
13 | 4 | 1 | 2 | .308 | .400 | .538 | .938 | |
|
29 | 9 | 1 | 2 | .310 | .333 | .586 | .920 | |
 |
27 | 7 | 2 | 7 | .259 | .375 | .519 | .894 | |
|
40 | 13 | 1 | 11 | .325 | .370 | .500 | .870 | |
|
10 | 3 | 0 | 1 | .300 | .462 | .400 | .862 | |
 |
13 | 4 | 1 | 1 | .308 | .308 | .538 | .846 | |
|
24 | 6 | 0 | 2 | .250 | .379 | .417 | .796 | |
|
11 | 3 | 0 | 3 | .273 | .333 | .455 | .788 | |
|
55 | 13 | 4 | 6 | .236 | .288 | .473 | .761 | |
  |
46 | 10 | 2 | 4 | .217 | .333 | .413 | .746 | |
 |
23 | 7 | 0 | 3 | .304 | .333 | .391 | .725 | |
 |
23 | 7 | 0 | 2 | .304 | .320 | .391 | .711 | |
|
20 | 5 | 0 | 3 | .250 | .360 | .350 | .710 | |
|
19 | 4 | 1 | 1 | .211 | .286 | .421 | .707 | |
 |
53 | 14 | 1 | 8 | .264 | .316 | .358 | .674 | |
|
11 | 3 | 0 | 0 | .273 | .385 | .273 | .657 | |
|
10 | 1 | 1 | 3 | .100 | .250 | .400 | .650 | |
|
40 | 7 | 2 | 3 | .175 | .267 | .375 | .642 | |
|
25 | 5 | 0 | 2 | .200 | .310 | .320 | .630 | |
|
28 | 6 | 1 | 3 | .214 | .267 | .357 | .624 | |
|
71 | 15 | 0 | 7 | .211 | .333 | .282 | .615 | |
|
14 | 4 | 0 | 0 | .286 | .286 | .286 | .571 | |
|
20 | 4 | 0 | 1 | .200 | .261 | .250 | .511 | |
|
14 | 3 | 0 | 2 | .214 | .214 | .286 | .500 | |
 |
12 | 2 | 0 | 0 | .167 | .167 | .250 | .417 | |
|
14 | 1 | 0 | 1 | .071 | .278 | .071 | .349 | |
|
12 | 0 | 0 | 0 | .000 | .077 | .000 | .077 |
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.