MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
10 | 6 | 2 | 7 | .600 | .692 | 1.300 | 1.992 | |
 |
14 | 8 | 1 | 4 | .571 | .647 | 1.071 | 1.718 | |
  |
25 | 11 | 2 | 4 | .440 | .548 | .840 | 1.388 | |
 |
20 | 8 | 2 | 6 | .400 | .429 | .800 | 1.229 | |
|
13 | 6 | 0 | 2 | .462 | .563 | .615 | 1.178 | |
 |
24 | 9 | 2 | 7 | .375 | .385 | .750 | 1.135 | |
 |
19 | 5 | 3 | 3 | .263 | .364 | .737 | 1.100 | |
 |
16 | 3 | 3 | 6 | .188 | .316 | .750 | 1.066 | |
 |
65 | 19 | 6 | 13 | .292 | .397 | .615 | 1.013 | |
 |
29 | 10 | 2 | 4 | .345 | .387 | .552 | .939 | |
 |
16 | 5 | 1 | 2 | .313 | .313 | .625 | .938 | |
 |
25 | 8 | 1 | 4 | .320 | .414 | .520 | .934 | |
|
62 | 21 | 3 | 7 | .339 | .349 | .565 | .914 | |
|
29 | 9 | 1 | 3 | .310 | .333 | .552 | .885 | |
|
26 | 8 | 1 | 1 | .308 | .379 | .500 | .879 | |
 |
25 | 7 | 1 | 2 | .280 | .357 | .480 | .837 | |
  |
24 | 7 | 1 | 3 | .292 | .370 | .458 | .829 | |
|
23 | 6 | 1 | 2 | .261 | .393 | .435 | .828 | |
 |
33 | 11 | 0 | 2 | .333 | .371 | .455 | .826 | |
|
25 | 7 | 0 | 2 | .280 | .379 | .400 | .779 | |
|
63 | 15 | 3 | 7 | .238 | .273 | .397 | .670 | |
|
28 | 6 | 0 | 5 | .214 | .290 | .357 | .647 | |
|
28 | 6 | 2 | 5 | .214 | .214 | .429 | .643 | |
|
51 | 12 | 1 | 9 | .235 | .278 | .353 | .631 | |
|
18 | 5 | 0 | 1 | .278 | .278 | .333 | .611 | |
 |
17 | 4 | 0 | 3 | .235 | .278 | .294 | .572 | |
|
29 | 5 | 1 | 3 | .172 | .200 | .345 | .545 | |
|
15 | 3 | 0 | 0 | .200 | .333 | .200 | .533 | |
|
11 | 2 | 0 | 0 | .182 | .250 | .273 | .523 | |
 |
14 | 3 | 0 | 0 | .214 | .267 | .214 | .481 | |
|
22 | 3 | 0 | 0 | .136 | .240 | .227 | .467 | |
|
33 | 4 | 1 | 1 | .121 | .194 | .242 | .437 | |
|
24 | 3 | 0 | 3 | .125 | .222 | .125 | .347 | |
|
23 | 2 | 0 | 1 | .087 | .160 | .130 | .290 | |
|
16 | 1 | 0 | 2 | .063 | .111 | .125 | .236 | |
 |
10 | 0 | 0 | 1 | .000 | .154 | .000 | .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.