MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▲ |
|---|---|---|---|---|---|---|---|---|---|
 |
10 | 0 | 0 | 1 | .000 | .286 | .000 | .286 | |
 |
10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
 |
19 | 4 | 0 | 2 | .211 | .238 | .211 | .449 | |
|
18 | 3 | 1 | 3 | .167 | .167 | .333 | .500 | |
|
25 | 5 | 0 | 2 | .200 | .259 | .280 | .539 | |
 |
18 | 4 | 0 | 1 | .222 | .222 | .333 | .556 | |
 |
24 | 6 | 0 | 1 | .250 | .280 | .333 | .613 | |
|
10 | 3 | 0 | 0 | .300 | .364 | .300 | .664 | |
 |
40 | 10 | 1 | 4 | .250 | .318 | .350 | .668 | |
|
19 | 5 | 0 | 1 | .263 | .364 | .316 | .679 | |
|
12 | 3 | 0 | 2 | .250 | .357 | .333 | .690 | |
 |
40 | 10 | 0 | 7 | .250 | .388 | .325 | .713 | |
  |
15 | 3 | 1 | 1 | .200 | .250 | .467 | .717 | |
 |
11 | 3 | 0 | 0 | .273 | .467 | .273 | .739 | |
 |
26 | 6 | 1 | 4 | .231 | .286 | .500 | .786 | |
|
43 | 12 | 1 | 5 | .279 | .340 | .488 | .829 | |
 |
64 | 13 | 6 | 14 | .203 | .333 | .500 | .833 | |
|
32 | 9 | 2 | 5 | .281 | .303 | .531 | .834 | |
|
26 | 6 | 2 | 6 | .231 | .310 | .538 | .849 | |
 |
19 | 6 | 1 | 4 | .316 | .350 | .526 | .876 | |
|
18 | 5 | 1 | 3 | .278 | .278 | .611 | .889 | |
  |
10 | 4 | 0 | 0 | .400 | .500 | .400 | .900 | |
|
13 | 3 | 1 | 4 | .231 | .286 | .615 | .901 | |
|
29 | 8 | 2 | 4 | .276 | .300 | .621 | .921 | |
 |
16 | 6 | 1 | 3 | .375 | .375 | .563 | .938 | |
|
18 | 6 | 1 | 3 | .333 | .400 | .556 | .956 | |
|
15 | 5 | 1 | 1 | .333 | .375 | .600 | .975 | |
|
17 | 4 | 2 | 3 | .235 | .278 | .706 | .984 | |
|
63 | 21 | 6 | 13 | .333 | .354 | .651 | 1.005 | |
 |
27 | 7 | 3 | 7 | .259 | .310 | .704 | 1.014 | |
|
10 | 3 | 1 | 1 | .300 | .417 | .600 | 1.017 | |
|
27 | 8 | 2 | 6 | .296 | .321 | .704 | 1.025 | |
|
54 | 20 | 3 | 13 | .370 | .419 | .630 | 1.049 | |
 |
13 | 4 | 1 | 4 | .308 | .438 | .615 | 1.053 | |
|
69 | 24 | 6 | 14 | .348 | .425 | .681 | 1.106 | |
|
21 | 8 | 2 | 5 | .381 | .444 | .667 | 1.111 | |
|
17 | 7 | 1 | 2 | .412 | .474 | .647 | 1.121 | |
 |
12 | 5 | 0 | 0 | .417 | .417 | .750 | 1.167 | |
|
35 | 13 | 4 | 7 | .371 | .450 | .743 | 1.193 | |
|
10 | 4 | 1 | 3 | .400 | .500 | .700 | 1.200 | |
|
13 | 4 | 2 | 3 | .308 | .357 | .846 | 1.203 | |
|
23 | 9 | 2 | 5 | .391 | .462 | .826 | 1.288 | |
|
14 | 6 | 2 | 6 | .429 | .467 | .857 | 1.324 | |
|
66 | 21 | 11 | 19 | .318 | .477 | .879 | 1.356 | |
|
12 | 7 | 1 | 1 | .583 | .615 | 1.000 | 1.615 |
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.