MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
17 | 7 | 4 | 10 | .412 | .474 | 1.118 | 1.591 | |
  |
66 | 26 | 13 | 20 | .394 | .467 | 1.045 | 1.512 | |
  |
17 | 8 | 2 | 3 | .471 | .526 | .941 | 1.467 | |
 |
55 | 20 | 10 | 22 | .364 | .426 | .927 | 1.354 | |
 |
12 | 4 | 2 | 5 | .333 | .429 | .917 | 1.345 | |
|
14 | 6 | 1 | 5 | .429 | .467 | .857 | 1.324 | |
 |
16 | 6 | 1 | 4 | .375 | .474 | .750 | 1.224 | |
|
17 | 5 | 3 | 4 | .294 | .400 | .824 | 1.224 | |
 |
53 | 17 | 7 | 15 | .321 | .368 | .830 | 1.199 | |
|
28 | 12 | 2 | 11 | .429 | .485 | .679 | 1.163 | |
 |
25 | 10 | 1 | 4 | .400 | .464 | .680 | 1.144 | |
 |
30 | 9 | 3 | 8 | .300 | .400 | .733 | 1.133 | |
|
15 | 5 | 2 | 5 | .333 | .333 | .733 | 1.067 | |
|
14 | 5 | 0 | 2 | .357 | .471 | .571 | 1.042 | |
|
75 | 27 | 4 | 10 | .360 | .407 | .627 | 1.034 | |
 |
67 | 27 | 2 | 12 | .403 | .431 | .597 | 1.028 | |
|
14 | 5 | 0 | 2 | .357 | .438 | .571 | 1.009 | |
 |
26 | 8 | 2 | 5 | .308 | .379 | .615 | .995 | |
 |
29 | 9 | 3 | 8 | .310 | .323 | .655 | .978 | |
 |
33 | 9 | 2 | 5 | .273 | .405 | .545 | .950 | |
|
71 | 23 | 3 | 16 | .324 | .398 | .535 | .933 | |
|
11 | 5 | 0 | 1 | .455 | .462 | .455 | .916 | |
|
25 | 8 | 1 | 6 | .320 | .346 | .560 | .906 | |
 |
12 | 2 | 2 | 5 | .167 | .231 | .667 | .897 | |
|
11 | 3 | 0 | 2 | .273 | .333 | .545 | .879 | |
|
47 | 11 | 2 | 6 | .234 | .333 | .468 | .801 | |
|
59 | 18 | 2 | 11 | .305 | .328 | .458 | .785 | |
|
47 | 9 | 2 | 8 | .191 | .356 | .362 | .718 | |
 |
15 | 5 | 0 | 1 | .333 | .375 | .333 | .708 | |
|
22 | 4 | 1 | 1 | .182 | .308 | .364 | .671 | |
|
61 | 15 | 1 | 4 | .246 | .292 | .344 | .637 | |
|
16 | 5 | 0 | 1 | .313 | .313 | .313 | .625 | |
|
23 | 4 | 0 | 0 | .174 | .345 | .261 | .606 | |
|
49 | 11 | 1 | 6 | .224 | .240 | .347 | .587 | |
|
13 | 3 | 0 | 1 | .231 | .333 | .231 | .564 | |
|
12 | 3 | 0 | 2 | .250 | .308 | .250 | .558 | |
|
35 | 7 | 1 | 3 | .200 | .200 | .314 | .514 | |
|
13 | 3 | 0 | 1 | .231 | .214 | .231 | .445 | |
 |
18 | 2 | 0 | 2 | .111 | .273 | .111 | .384 | |
|
13 | 2 | 0 | 1 | .154 | .214 | .154 | .368 | |
|
12 | 1 | 0 | 0 | .083 | .267 | .083 | .350 | |
|
22 | 3 | 0 | 1 | .136 | .208 | .136 | .345 |
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.