MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
13 | 5 | 2 | 5 | .385 | .429 | .923 | 1.352 | |
  |
29 | 13 | 3 | 9 | .448 | .484 | .862 | 1.346 | |
 |
29 | 13 | 1 | 5 | .448 | .484 | .793 | 1.277 | |
 |
12 | 4 | 1 | 1 | .333 | .385 | .750 | 1.135 | |
|
20 | 7 | 1 | 1 | .350 | .409 | .650 | 1.059 | |
|
64 | 22 | 4 | 12 | .344 | .413 | .641 | 1.054 | |
|
22 | 7 | 2 | 6 | .318 | .400 | .636 | 1.036 | |
 |
20 | 6 | 1 | 4 | .300 | .417 | .600 | 1.017 | |
 |
26 | 8 | 2 | 3 | .308 | .400 | .577 | .977 | |
|
44 | 15 | 2 | 5 | .341 | .383 | .591 | .974 | |
 |
25 | 5 | 3 | 5 | .200 | .394 | .560 | .954 | |
  |
23 | 5 | 3 | 5 | .217 | .280 | .652 | .932 | |
|
18 | 6 | 1 | 3 | .333 | .368 | .556 | .924 | |
|
22 | 7 | 0 | 0 | .318 | .516 | .364 | .880 | |
|
11 | 3 | 0 | 2 | .273 | .385 | .455 | .839 | |
|
47 | 15 | 0 | 4 | .319 | .389 | .447 | .836 | |
 |
13 | 4 | 0 | 1 | .308 | .357 | .462 | .819 | |
 |
40 | 7 | 4 | 7 | .175 | .250 | .525 | .775 | |
|
17 | 6 | 0 | 1 | .353 | .353 | .412 | .765 | |
|
13 | 4 | 0 | 1 | .308 | .357 | .385 | .742 | |
 |
19 | 4 | 1 | 2 | .211 | .318 | .421 | .739 | |
|
68 | 12 | 5 | 9 | .176 | .321 | .412 | .733 | |
|
24 | 5 | 1 | 2 | .208 | .269 | .458 | .728 | |
|
15 | 3 | 1 | 2 | .200 | .250 | .467 | .717 | |
|
26 | 4 | 2 | 3 | .154 | .290 | .423 | .713 | |
|
46 | 12 | 1 | 2 | .261 | .320 | .391 | .711 | |
 |
15 | 2 | 1 | 1 | .133 | .278 | .333 | .611 | |
 |
10 | 1 | 0 | 2 | .100 | .250 | .200 | .450 | |
|
15 | 2 | 0 | 0 | .133 | .278 | .133 | .411 | |
 |
16 | 2 | 0 | 1 | .125 | .222 | .188 | .410 | |
 |
19 | 2 | 0 | 1 | .105 | .143 | .158 | .301 | |
|
26 | 2 | 0 | 1 | .077 | .111 | .115 | .226 | |
 |
11 | 0 | 0 | 0 | .000 | .083 | .000 | .083 |
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.