MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
28 | 13 | 5 | 8 | .464 | .516 | 1.036 | 1.552 | |
 |
13 | 7 | 1 | 2 | .538 | .647 | .769 | 1.416 | |
 |
15 | 7 | 1 | 3 | .467 | .467 | .933 | 1.400 | |
  |
27 | 13 | 2 | 6 | .481 | .500 | .815 | 1.315 | |
 |
19 | 7 | 1 | 4 | .368 | .455 | .789 | 1.244 | |
|
25 | 9 | 3 | 5 | .360 | .429 | .800 | 1.229 | |
 |
15 | 6 | 1 | 3 | .400 | .500 | .667 | 1.167 | |
 |
25 | 6 | 3 | 5 | .240 | .406 | .720 | 1.126 | |
|
17 | 5 | 2 | 4 | .294 | .478 | .647 | 1.125 | |
 |
27 | 10 | 2 | 5 | .370 | .414 | .667 | 1.080 | |
 |
26 | 7 | 2 | 4 | .269 | .424 | .654 | 1.078 | |
 |
56 | 19 | 4 | 9 | .339 | .441 | .625 | 1.066 | |
|
25 | 8 | 3 | 7 | .320 | .346 | .720 | 1.066 | |
|
64 | 20 | 5 | 16 | .313 | .423 | .625 | 1.048 | |
|
15 | 5 | 1 | 4 | .333 | .375 | .600 | .975 | |
 |
16 | 5 | 1 | 4 | .313 | .389 | .563 | .951 | |
  |
13 | 5 | 0 | 0 | .385 | .385 | .538 | .923 | |
|
68 | 16 | 4 | 12 | .235 | .413 | .500 | .913 | |
 |
68 | 14 | 8 | 16 | .206 | .304 | .574 | .877 | |
|
10 | 2 | 1 | 1 | .200 | .333 | .500 | .833 | |
 |
13 | 3 | 1 | 1 | .231 | .333 | .462 | .795 | |
|
19 | 4 | 2 | 3 | .211 | .250 | .526 | .776 | |
|
64 | 16 | 3 | 14 | .250 | .304 | .469 | .773 | |
 |
64 | 16 | 1 | 6 | .250 | .351 | .406 | .758 | |
|
12 | 3 | 1 | 4 | .250 | .250 | .500 | .750 | |
|
27 | 6 | 1 | 2 | .222 | .276 | .407 | .683 | |
|
33 | 6 | 0 | 7 | .182 | .396 | .242 | .638 | |
|
30 | 7 | 1 | 2 | .233 | .258 | .367 | .625 | |
|
11 | 2 | 0 | 2 | .182 | .400 | .182 | .582 | |
 |
13 | 3 | 0 | 1 | .231 | .267 | .308 | .574 | |
|
16 | 3 | 1 | 2 | .188 | .188 | .375 | .563 | |
|
18 | 2 | 0 | 3 | .111 | .320 | .222 | .542 | |
|
13 | 3 | 0 | 0 | .231 | .231 | .308 | .538 | |
|
13 | 1 | 1 | 3 | .077 | .188 | .308 | .495 | |
|
13 | 1 | 1 | 1 | .077 | .143 | .308 | .451 | |
|
21 | 3 | 0 | 1 | .143 | .250 | .190 | .440 | |
|
11 | 2 | 0 | 2 | .182 | .167 | .182 | .348 | |
|
10 | 1 | 0 | 0 | .100 | .100 | .100 | .200 | |
 |
11 | 0 | 0 | 0 | .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.
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.