since 2002

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...

Pete Rose
Phil Niekro
AB221 HR2 OPS.746
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Ownage chart

Pete Rose
  • 0.558
    1967
  • 0.813
    1968
  • 0.842
    1969
  • 1.000
    1970
  • 0.307
    1971
  • 0.376
    1972
  • 1.589
    1973
  • 0.921
    1974
  • 0.679
    1975
  • 0.520
    1976
  • 0.829
    1977
  • 0.507
    1978
  • 0.633
    1979
  • 0.929
    1980
  • 0.788
    1982
  • 0.393
    1983
Phil Niekro
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.362 .700
  • Hard Hit3% 30%
  • Quality AB39% 75%
  • SB Success7% 15%

Season stats

Rose vs Niekro: 19 Seasons
YrPAABH2B3BHRRBIBBSOBAOBPSLGOPS
1965332000000.667.667.6671.334
1966331100000.333.333.6671.000
196714123000112.250.308.250.558
196814135000112.385.429.385.814
196925236111224.261.320.522.842
1970994100100.444.444.5561.000
197117141000130.071.235.071.306
197217151010021.067.176.200.376
1973181510001431.667.722.8671.589
197420176200231.353.450.471.921
197522195100112.263.364.316.680
197617121100041.083.353.167.520
197721176000030.353.476.353.829
197818132000040.154.353.154.507
197913102100020.200.333.300.633
1980873000210.429.500.429.929
1981330000000.000.000.000.000
19821193000110.333.455.333.788
1983871000010.143.250.143.393
TOTALS26122162822163214.281.384.362.746
Note: OPS color trend requires a min. of 5 PA in a season.

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 (38% OBP)

1B: 19% 2B: 3% 3B: 1% HR: 1% BB: 12% HBP: 2%
1b 2b 3b hr bb hbp

Makes an out (62%)

  • Strikeout: 5%
  • Out (in play): 57%

Latest ABs

Rose vs Niekro: Last 25 ABs
Date Inn Score Count Result Details Hard hit?
8/25/81 - ATL @ PHI6down 0-12n/aOutfly ball to center
5/23/82 - PHI @ ATL1 0-0n/aHBP-
5/23/82 - PHI @ ATL3up 1-0n/aOutground ball to shortstop
5/23/82 - PHI @ ATL5up 2-0n/aOutground ball to first
8/24/82 - PHI @ ATL1 0-0n/a1B to right
8/24/82 - PHI @ ATL2up 4-1n/aBB-
8/24/82 - PHI @ ATL4up 4-2n/a1B to second
8/24/82 - PHI @ ATL6down 7-8n/aOutfly ball to center
5/29/82 - ATL @ PHI1 0-0n/aOutfly ball to left
5/29/82 - ATL @ PHI3 0-0n/aOutground ball to first
5/29/82 - ATL @ PHI6 0-0n/a1B to right
5/29/82 - ATL @ PHI8up 1-0n/aOutfly ball to shortstop
4/27/83 - PHI @ ATL1 0-0n/aOutground ball to first
4/27/83 - PHI @ ATL3up 2-0n/aOutground ball to pitcher
4/27/83 - PHI @ ATL5up 2-0n/aOutground ball to first
4/16/83 - ATL @ PHI1 0-0n/aOutground ball to second
4/16/83 - ATL @ PHI2up 2-1n/aBB-
4/16/83 - ATL @ PHI4up 4-1n/aOutfly ball to center
4/16/83 - ATL @ PHI7 4-4n/a1B to left
7/12/83 - ATL @ PHI6 4-4n/aOutground ball to second

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.