MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
11 | 4 | 1 | 1 | .364 | .500 | .818 | 1.318 | |
 |
40 | 11 | 5 | 7 | .275 | .362 | .700 | 1.062 | |
  |
22 | 8 | 2 | 3 | .364 | .375 | .682 | 1.057 | |
  |
26 | 8 | 2 | 3 | .308 | .357 | .692 | 1.049 | |
|
17 | 6 | 0 | 3 | .353 | .450 | .588 | 1.038 | |
 |
12 | 4 | 0 | 0 | .333 | .529 | .500 | 1.029 | |
 |
15 | 4 | 2 | 4 | .267 | .353 | .667 | 1.020 | |
 |
22 | 5 | 3 | 3 | .227 | .320 | .636 | .956 | |
 |
22 | 6 | 2 | 2 | .273 | .360 | .591 | .951 | |
 |
13 | 4 | 0 | 3 | .308 | .412 | .538 | .950 | |
 |
27 | 11 | 0 | 1 | .407 | .467 | .481 | .948 | |
 |
19 | 5 | 2 | 2 | .263 | .364 | .579 | .943 | |
 |
10 | 2 | 0 | 4 | .200 | .308 | .600 | .908 | |
|
21 | 7 | 1 | 3 | .333 | .417 | .476 | .893 | |
|
19 | 5 | 1 | 4 | .263 | .364 | .526 | .890 | |
|
18 | 5 | 1 | 2 | .278 | .381 | .500 | .881 | |
 |
30 | 8 | 2 | 6 | .267 | .313 | .567 | .879 | |
|
54 | 12 | 4 | 11 | .222 | .377 | .481 | .858 | |
|
63 | 19 | 3 | 8 | .302 | .362 | .492 | .854 | |
 |
13 | 4 | 1 | 2 | .308 | .308 | .538 | .846 | |
|
66 | 16 | 6 | 11 | .242 | .315 | .530 | .845 | |
|
15 | 5 | 0 | 1 | .333 | .375 | .400 | .775 | |
|
13 | 4 | 0 | 1 | .308 | .308 | .462 | .769 | |
|
17 | 5 | 0 | 2 | .294 | .316 | .412 | .728 | |
|
14 | 2 | 1 | 1 | .143 | .294 | .429 | .723 | |
 |
15 | 3 | 1 | 3 | .200 | .250 | .400 | .650 | |
|
12 | 2 | 1 | 3 | .167 | .231 | .417 | .647 | |
|
12 | 3 | 0 | 0 | .250 | .308 | .333 | .641 | |
|
38 | 9 | 0 | 4 | .237 | .318 | .316 | .634 | |
|
33 | 4 | 3 | 5 | .121 | .231 | .394 | .625 | |
|
25 | 6 | 0 | 1 | .240 | .296 | .320 | .616 | |
 |
20 | 4 | 0 | 1 | .200 | .360 | .250 | .610 | |
|
15 | 3 | 0 | 0 | .200 | .294 | .267 | .561 | |
|
12 | 3 | 0 | 1 | .250 | .308 | .250 | .558 | |
|
15 | 3 | 0 | 1 | .200 | .200 | .333 | .533 | |
|
61 | 9 | 0 | 7 | .148 | .254 | .262 | .516 | |
|
19 | 4 | 0 | 1 | .211 | .286 | .211 | .496 | |
|
22 | 3 | 1 | 3 | .136 | .174 | .318 | .492 | |
 |
30 | 6 | 0 | 3 | .200 | .200 | .267 | .467 | |
|
28 | 6 | 0 | 4 | .214 | .214 | .250 | .464 | |
|
12 | 2 | 0 | 1 | .167 | .167 | .250 | .417 | |
|
11 | 0 | 0 | 1 | .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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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.