since 2002
Play DFS? Try out our new DFS Optimizer!

Batter vs Pitcher Matchup

Head-to-head comparison of any MLB batter and pitcher since 1950. Search players below and watch their matchup stats update...

Cedric Mullins
Michael Wacha
AB26 HR2 OPS1.101
Share:copied!

Ownage chart

Cedric Mullins
  • 1.250
    2021
  • 1.400
    2022
  • 0.333
    2025
Michael Wacha
Note: given a league-wide OPS of ~.725, the closer the line gets to a player, the more ownage. Min of 5 PA in a season to qualify.

Matchup Ranks

  • SLG.731 .700
  • Hard Hit22% 30%
  • Quality AB44% 75%
  • SB Success0% 15%

Season stats

Mullins vs Wacha: 6 Seasons
YrPAABH2B3BHRRBIBBSOBAOBPSLGOPS
2020432110200.667.7501.6672.417
2021883101102.375.375.8751.250
2022552001201.400.4001.0001.400
2023221000001.500.500.5001.000
2024220000001.000.000.000.000
2025661000001.167.167.167.334
TOTALS27269212506.346.370.7311.101
Note(s): OPS color trend requires a min. of 5 PA in a season.
Doesn't include current season data.

Predicted outcomes

Based on historical data and our prediction model, the probability of various outcomes for a random at-bat (hot streaks aside).

Gets on base (31% OBP)

1B: 14% 2B: 6% 3B: 2% HR: 4% BB: 4% HBP: 2%
1b 2b 3b hr bb hbp

Makes an out (69%)

  • Strikeout: 21%
  • Out (in play): 48%

Latest ABs

Mullins vs Wacha: Last 25 ABs
Date Inn Score Count Result Details Hard hit?
8/28/21 - TBA @ BAL1 0-0(2 - 2)SOstrike out-
8/28/21 - TBA @ BAL3 0-0(3 - 2)SOstrike out-
7/21/21 - BAL @ TBA1 0-0(0 - 1)2Bfly ball double to left
7/21/21 - BAL @ TBA3 2-2(2 - 2)1Bline drive single to left
7/21/21 - BAL @ TBA5up 3-2(2 - 2)Outground ball to shallow second
9/10/22 - BOS @ BAL1down 0-4(0 - 2)SOstrike out-
9/10/22 - BOS @ BAL3down 0-4(0 - 1)HRfly ball home run to deep right
9/10/22 - BOS @ BAL5down 2-10(1 - 0)1Bfly ball single to shallow left
9/27/22 - BAL @ BOS1 0-0(0 - 2)Outfly ball to left
9/27/22 - BAL @ BOS3down 1-2(1 - 2)Outfly ball to deep left
8/15/23 - BAL @ SDN2down 0-5(2 - 2)1Bline drive single to shallow center
8/15/23 - BAL @ SDN4down 0-7(2 - 2)SOstrike out-
4/1/24 - KCA @ BAL2 0-0(0 - 2)SOstrike out-
4/1/24 - KCA @ BAL4 3-3(0 - 0)Outpop fly to shallow third
5/2/25 - KCA @ BAL1 0-0(1 - 1)Outpop fly to third
5/2/25 - KCA @ BAL3 0-0(3 - 2)Outpop fly to catcher
5/2/25 - KCA @ BAL6 0-0(1 - 1)Outfly ball to deep center
4/5/25 - BAL @ KCA1 0-0(3 - 2)SOstrike out-
4/5/25 - BAL @ KCA3up 2-0(0 - 1)Outground ball to second
4/5/25 - BAL @ KCA6up 2-0(0 - 1)1Bbunt ground ball single to third
Matchup Alert (Elites)
Matchup Alert (Elites)
Get the day's best matchups (+ exclusive notes) straight to your inbox! 2-3/wk, unsubscribe anytime.
Please enter your first name.Invalid email - try again.Please enter an email.Thanks! Last step: check your inbox to confirm your email (if you don't spot it, try your junk/promotions folder).

About Ownage charts

Want a quick look at the seasonal trends of a batter/pitcher matchup? Called Ownage Charts, they're a handy way to see which way the trend is headed. On each chart, the closer the OPS line gets to a player's name, the more ownage and bragging rights. For context, there's a horizontal line that denotes the league-wide OPS of about .725. A minimum of 5 plate appearances in a given season is required to qualify for the chart.

More about our philosophy

Baseball's an individual sport with team goals and nothing's a better example of that than an at-bat. A batter could miss a curve by 2 feet then crush a ball 400 feet the very next time up. Most baseball fans (minus degenerate gamblers) love that unpredictability. On the flip side, models can help predict what may happen and we've developed a variety of algorithms that can be applied to head-to-head matchups. Most rely on a fair amount of data but generally do well when there are at least 15 plate appearances.

Most of the tables above break down the actual head-to-head data in a way that's hopefully more digestable and actionable (i.e., helping you decide to sit or start a SP/batter). The "Predicted" table takes into account a whole bunch of data and tosses it into our at-bat predictive model: previous results, ballpark, weather and more. And, of course, the more historical data the tighter the accuracy. We have plans to release even more granular data, but for now, enjoy and let us know if you have any questions or suggestions.

Classic matchups

These are some of our favorite matchups based on length of history, involvement of elite players/HOFs, interesting stat trends and more.

Get $20 Free (new users only)
Get $10 on us: trade Mullins v. Wacha