MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
  |
13 | 7 | 2 | 4 | .538 | .538 | 1.000 | 1.538 | |
 |
23 | 9 | 2 | 12 | .391 | .517 | .826 | 1.343 | |
  |
12 | 5 | 1 | 3 | .417 | .462 | .833 | 1.295 | |
|
10 | 3 | 2 | 4 | .300 | .364 | .900 | 1.264 | |
 |
15 | 5 | 2 | 3 | .333 | .444 | .800 | 1.244 | |
 |
29 | 10 | 4 | 9 | .345 | .367 | .828 | 1.194 | |
 |
27 | 9 | 2 | 4 | .333 | .379 | .704 | 1.083 | |
 |
12 | 3 | 2 | 3 | .250 | .308 | .750 | 1.058 | |
|
60 | 19 | 3 | 11 | .317 | .431 | .517 | .947 | |
 |
25 | 5 | 3 | 5 | .200 | .355 | .560 | .915 | |
|
28 | 7 | 3 | 5 | .250 | .300 | .607 | .907 | |
 |
25 | 9 | 0 | 3 | .360 | .360 | .520 | .880 | |
|
53 | 14 | 4 | 7 | .264 | .328 | .547 | .875 | |
 |
25 | 7 | 2 | 6 | .280 | .308 | .560 | .868 | |
 |
32 | 11 | 1 | 4 | .344 | .364 | .500 | .864 | |
 |
10 | 3 | 0 | 1 | .300 | .462 | .400 | .862 | |
|
16 | 5 | 1 | 3 | .313 | .353 | .500 | .853 | |
 |
24 | 9 | 0 | 1 | .375 | .375 | .458 | .833 | |
|
10 | 3 | 0 | 0 | .300 | .364 | .400 | .764 | |
 |
39 | 9 | 3 | 5 | .231 | .250 | .487 | .737 | |
|
26 | 6 | 1 | 2 | .231 | .259 | .423 | .682 | |
|
14 | 4 | 0 | 3 | .286 | .375 | .286 | .661 | |
|
14 | 4 | 0 | 0 | .286 | .375 | .286 | .661 | |
 |
20 | 5 | 0 | 3 | .250 | .360 | .300 | .660 | |
 |
40 | 9 | 2 | 5 | .225 | .279 | .375 | .654 | |
|
18 | 3 | 0 | 2 | .167 | .318 | .333 | .652 | |
|
65 | 13 | 2 | 5 | .200 | .274 | .354 | .628 | |
|
52 | 10 | 3 | 6 | .192 | .222 | .385 | .607 | |
|
61 | 13 | 1 | 6 | .213 | .304 | .279 | .583 | |
|
56 | 10 | 2 | 11 | .179 | .233 | .339 | .573 | |
|
11 | 3 | 0 | 0 | .273 | .273 | .273 | .545 | |
|
24 | 5 | 0 | 0 | .208 | .240 | .250 | .490 | |
|
26 | 3 | 1 | 2 | .115 | .258 | .231 | .489 | |
|
16 | 2 | 1 | 1 | .125 | .125 | .313 | .438 | |
 |
15 | 2 | 0 | 0 | .133 | .235 | .200 | .435 | |
|
14 | 3 | 0 | 2 | .214 | .214 | .214 | .429 | |
|
16 | 0 | 0 | 1 | .000 | .000 | .000 | .000 |
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.