MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
12 | 6 | 1 | 4 | .500 | .571 | .917 | 1.488 | |
 |
11 | 4 | 2 | 2 | .364 | .364 | .909 | 1.273 | |
 |
18 | 5 | 3 | 8 | .278 | .391 | .833 | 1.225 | |
 |
22 | 9 | 1 | 3 | .409 | .519 | .682 | 1.200 | |
 |
11 | 4 | 1 | 1 | .364 | .417 | .727 | 1.144 | |
|
19 | 6 | 2 | 6 | .316 | .458 | .684 | 1.143 | |
|
25 | 9 | 2 | 9 | .360 | .407 | .680 | 1.087 | |
 |
24 | 7 | 2 | 8 | .292 | .393 | .667 | 1.060 | |
|
77 | 29 | 6 | 13 | .377 | .415 | .636 | 1.051 | |
 |
71 | 21 | 7 | 15 | .296 | .359 | .690 | 1.049 | |
|
25 | 6 | 4 | 8 | .240 | .240 | .760 | 1.000 | |
 |
27 | 10 | 1 | 4 | .370 | .433 | .556 | .989 | |
|
15 | 4 | 1 | 5 | .267 | .353 | .600 | .953 | |
 |
33 | 9 | 2 | 5 | .273 | .385 | .545 | .930 | |
|
13 | 5 | 0 | 3 | .385 | .467 | .462 | .928 | |
 |
26 | 9 | 0 | 3 | .346 | .393 | .500 | .893 | |
  |
46 | 13 | 1 | 4 | .283 | .389 | .478 | .867 | |
|
39 | 13 | 0 | 3 | .333 | .395 | .385 | .780 | |
|
61 | 14 | 4 | 14 | .230 | .299 | .459 | .758 | |
|
20 | 6 | 0 | 4 | .300 | .375 | .350 | .725 | |
 |
55 | 15 | 1 | 8 | .273 | .344 | .364 | .708 | |
 |
18 | 4 | 1 | 2 | .222 | .263 | .444 | .708 | |
|
18 | 4 | 0 | 2 | .222 | .263 | .389 | .652 | |
 |
15 | 4 | 0 | 0 | .267 | .313 | .333 | .646 | |
|
21 | 4 | 0 | 3 | .190 | .190 | .381 | .571 | |
|
23 | 3 | 1 | 2 | .130 | .200 | .348 | .548 | |
  |
12 | 1 | 1 | 1 | .083 | .214 | .333 | .548 | |
|
11 | 2 | 0 | 1 | .182 | .357 | .182 | .539 | |
|
11 | 2 | 0 | 2 | .182 | .357 | .182 | .539 | |
|
11 | 2 | 0 | 3 | .182 | .357 | .182 | .539 | |
|
22 | 3 | 1 | 1 | .136 | .174 | .273 | .447 | |
 |
26 | 4 | 1 | 6 | .154 | .172 | .269 | .442 | |
|
27 | 4 | 1 | 5 | .148 | .172 | .259 | .432 | |
|
12 | 2 | 0 | 2 | .167 | .154 | .250 | .404 | |
|
16 | 2 | 0 | 1 | .125 | .118 | .125 | .243 | |
 |
11 | 1 | 0 | 2 | .091 | .091 | .091 | .182 |
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.