MLB Batting Splits 2019
Performance splits by handedness, home/away, and situational categories.
| Player | Team | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|
 |
24 | 10 | 5 | 9 | .417 | .440 | 1.125 | 1.565 | |
 |
12 | 4 | 2 | 3 | .333 | .385 | 1.000 | 1.385 | |
 |
67 | 25 | 9 | 18 | .373 | .447 | .910 | 1.358 | |
 |
13 | 5 | 2 | 3 | .385 | .385 | .923 | 1.308 | |
 |
14 | 7 | 0 | 0 | .500 | .500 | .786 | 1.286 | |
 |
12 | 6 | 0 | 2 | .500 | .538 | .667 | 1.205 | |
  |
26 | 9 | 2 | 6 | .346 | .433 | .692 | 1.126 | |
|
25 | 8 | 3 | 7 | .320 | .357 | .720 | 1.077 | |
|
60 | 20 | 4 | 18 | .333 | .412 | .650 | 1.062 | |
 |
25 | 9 | 1 | 3 | .360 | .448 | .600 | 1.048 | |
 |
56 | 18 | 4 | 8 | .321 | .457 | .589 | 1.046 | |
 |
24 | 6 | 2 | 7 | .250 | .367 | .625 | .992 | |
 |
26 | 8 | 3 | 9 | .308 | .333 | .654 | .987 | |
 |
12 | 3 | 1 | 5 | .250 | .308 | .667 | .974 | |
 |
20 | 6 | 1 | 3 | .300 | .440 | .500 | .940 | |
|
24 | 6 | 3 | 5 | .250 | .280 | .625 | .905 | |
 |
13 | 4 | 0 | 0 | .308 | .357 | .538 | .896 | |
|
59 | 17 | 4 | 9 | .288 | .377 | .508 | .885 | |
 |
15 | 4 | 1 | 3 | .267 | .313 | .533 | .846 | |
  |
26 | 6 | 1 | 2 | .231 | .310 | .500 | .810 | |
|
12 | 4 | 0 | 0 | .333 | .385 | .417 | .801 | |
|
52 | 13 | 2 | 9 | .250 | .286 | .500 | .786 | |
|
12 | 4 | 0 | 1 | .333 | .333 | .417 | .750 | |
|
16 | 4 | 0 | 2 | .250 | .250 | .438 | .688 | |
|
29 | 5 | 2 | 3 | .172 | .200 | .414 | .614 | |
|
27 | 7 | 0 | 1 | .259 | .310 | .296 | .607 | |
 |
20 | 4 | 1 | 1 | .200 | .200 | .400 | .600 | |
|
10 | 2 | 0 | 0 | .200 | .333 | .200 | .533 | |
|
40 | 7 | 1 | 4 | .175 | .250 | .275 | .525 | |
|
11 | 2 | 0 | 0 | .182 | .308 | .182 | .490 | |
|
26 | 6 | 0 | 0 | .231 | .259 | .231 | .490 | |
 |
19 | 3 | 0 | 2 | .158 | .261 | .158 | .419 | |
|
25 | 4 | 0 | 1 | .160 | .192 | .160 | .352 | |
|
12 | 1 | 0 | 0 | .083 | .083 | .083 | .167 |
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.