MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
49 | 17 | 8 | 19 | .347 | .522 | .878 | 1.400 | |
 |
11 | 5 | 1 | 3 | .455 | .571 | .727 | 1.299 | |
  |
24 | 9 | 3 | 5 | .375 | .444 | .833 | 1.278 | |
 |
27 | 10 | 3 | 6 | .370 | .469 | .778 | 1.247 | |
|
24 | 7 | 4 | 9 | .292 | .393 | .833 | 1.226 | |
 |
13 | 4 | 1 | 3 | .308 | .357 | .846 | 1.203 | |
 |
22 | 9 | 1 | 2 | .409 | .480 | .636 | 1.116 | |
 |
25 | 8 | 2 | 2 | .320 | .414 | .680 | 1.094 | |
|
19 | 7 | 1 | 1 | .368 | .455 | .632 | 1.086 | |
 |
12 | 3 | 1 | 4 | .250 | .438 | .500 | .938 | |
 |
60 | 17 | 5 | 10 | .283 | .371 | .567 | .938 | |
|
12 | 5 | 0 | 0 | .417 | .500 | .417 | .917 | |
|
16 | 4 | 1 | 2 | .250 | .455 | .438 | .892 | |
|
22 | 7 | 0 | 2 | .318 | .375 | .455 | .830 | |
|
66 | 19 | 2 | 9 | .288 | .373 | .455 | .828 | |
|
12 | 3 | 1 | 1 | .250 | .308 | .500 | .808 | |
 |
80 | 23 | 2 | 12 | .288 | .329 | .450 | .779 | |
 |
15 | 3 | 1 | 1 | .200 | .333 | .400 | .733 | |
|
22 | 4 | 2 | 2 | .182 | .250 | .455 | .705 | |
 |
24 | 5 | 1 | 4 | .208 | .321 | .375 | .696 | |
|
24 | 6 | 0 | 0 | .250 | .357 | .292 | .649 | |
  |
43 | 8 | 2 | 7 | .186 | .222 | .419 | .641 | |
 |
58 | 14 | 0 | 5 | .241 | .308 | .328 | .635 | |
 |
58 | 13 | 1 | 6 | .224 | .308 | .328 | .635 | |
 |
26 | 6 | 1 | 4 | .231 | .286 | .346 | .632 | |
|
13 | 2 | 1 | 5 | .154 | .154 | .385 | .538 | |
|
12 | 1 | 1 | 2 | .083 | .154 | .333 | .487 | |
 |
26 | 5 | 0 | 0 | .192 | .276 | .192 | .468 | |
|
23 | 4 | 0 | 2 | .174 | .200 | .261 | .461 | |
|
13 | 2 | 0 | 0 | .154 | .214 | .231 | .445 | |
|
10 | 1 | 0 | 0 | .100 | .308 | .100 | .408 | |
|
20 | 2 | 1 | 2 | .100 | .143 | .250 | .393 | |
|
25 | 3 | 0 | 2 | .120 | .241 | .120 | .361 |
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.