Catcher framing is the art of a catcher receiving a pitch in a way that makes it more likely for an umpire to call it a strike. This page breaks down the catcher’s view into eight zones around the strike zone and shows the called strike percentage of all non-swings in that zone. Strike Rate shows the cumulative total of all zones. Catcher Framing Runs converts strikes to runs saved on a .125 run/strike basis, and includes park and pitcher adjustments. To qualify, a catcher must receive 6 called pitches per team game.
How to say it: “In 2018, Jeff Mathis converted 55 percent of non-swing pitches into called strikes in the Shadow Zone, the best rate of any catcher in baseball.”
Qualifier: For catchers 6 called pitches (i.e., takes, or non-swings) in the ‘shadow zone’ per team game. For pitchers and batters 1.5 called pitches in the ‘shadow zone’ per team game. (The shadow zone is essentially the edges of the strike zone, roughly one ball width inside and one ball wide outside of the zone. See what that looks like here.)
For pitchers/batters: This shows the framing that occurred behind the plate while the player in question was pitching or hitting.
View: Catcher
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Team
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2024
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Min Called Pitches: (Q)
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Rk. Catcher Team Pitches
Catcher
Framing
Runs
Strike
Rate
 Zone 11
 Zone 12
 Zone 13
 Zone 14
 Zone 16
 Zone 17
 Zone 18
 Zone 19
Narváez, Omar mil 967 5 53.6% 30.3% 53.1% 17.2% 65.9% 68.7% 44.7% 54.6% 40.3%
Realmuto, J.T. phi 978 3 51.9% 24.2% 36.6% 17.6% 76.4% 67% 48.2% 50.8% 28.4%
Grandal, Yasmani cws 1071 3 51.1% 27.4% 51.1% 18.4% 63.5% 68.4% 39.5% 57.6% 30.1%
Murphy, Sean oak 1355 3 49.5% 21.3% 42.9% 10.1% 67.9% 67.3% 26.6% 56.7% 24.4%
Molina, Yadier stl 1279 3 50.4% 14.3% 43.6% 11.4% 65.4% 73.9% 38.1% 61.1% 29.9%
Vázquez, Christian bos 1238 3 50.9% 22.9% 51.6% 32.3% 68.8% 67.5% 24.6% 53.3% 25.4%
Stallings, Jacob pit 1225 2 48.8% 13.3% 36.8% 23.7% 60.1% 66.2% 29.9% 60.7% 33.3%
Barnes, Austin la 935 2 52.6% 20.8% 45.2% 16.7% 57.5% 73.8% 38% 64% 42.9%
Pérez, Roberto cle 861 2 51.2% 6.3% 50% 19.2% 67.1% 72.1% 31.1% 53.9% 32.1%
McCann, James cws 812 2 51.6% 5% 35.9% 22.5% 63.1% 75.5% 38.1% 62% 31.3%
Contreras, Willson chc 1079 2 51.3% 21.7% 50.5% 31.6% 65.5% 68.4% 39.2% 53.1% 28.1%
Nola, Austin sd 1440 1 51.7% 13.9% 39.3% 23.8% 59.7% 67.5% 34.6% 68% 40.4%
Kelly, Carson ari 1061 1 49.6% 20.7% 41.4% 23.3% 71.4% 64.5% 40% 52.7% 22.2%
Barnhart, Tucker cin 993 1 50.4% 18.6% 43.6% 18.4% 69.9% 67.4% 31.4% 62.8% 26.6%
d'Arnaud, Travis atl 1410 1 49.2% 18.2% 52.8% 30.6% 66.6% 65.4% 29.2% 49% 21%
Stassi, Max ana 782 1 50.5% 15.6% 51.2% 27% 59.2% 73% 31.4% 58.2% 35.1%
Bart, Joey sf 841 0 49.3% 24% 38% 27.7% 62.5% 69.1% 40.4% 51.6% 37.7%
Perez, Salvador kc 996 0 48.9% 17.9% 45.3% 14.5% 76.2% 71.8% 36.8% 43.5% 26.4%
Ramos, Wilson nym 1114 0 44.8% 25% 58.6% 27.4% 66.2% 63.8% 22.4% 29.6% 15.7%
Jansen, Danny tor 1280 -1 46.3% 18.2% 37.9% 20% 64.9% 68% 26.9% 45.9% 32.3%
Wolters, Tony col 1000 -1 47.4% 21.6% 46.8% 22.9% 64.2% 66% 40.5% 47.6% 15.7%
Chirinos, Robinson nym 780 -1 46.7% 22.6% 41.1% 20.8% 63.6% 70.4% 36.6% 39.4% 28.9%
Romine, Austin det 1068 -1 45.9% 11.7% 32.4% 20.5% 61.3% 67.4% 31.6% 47.2% 30.9%
Maldonado, Martín hou 1828 -2 47.8% 19.4% 47% 23.5% 64.2% 68.2% 25% 54.3% 22%
Sánchez, Gary nyy 1153 -2 47.6% 13% 32.3% 12.8% 64.3% 68.6% 24.7% 52.4% 42.7%
Gomes, Yan was 886 -2 44.8% 20.3% 37.4% 16.2% 67.3% 61.2% 38.4% 45.7% 16.2%
Suzuki, Kurt was 879 -4 43.8% 22.6% 31.9% 12.1% 64.4% 64.6% 35.6% 43.5% 17.3%
Severino, Pedro bal 994 -4 45.8% 24.6% 38.8% 16.3% 64.6% 64.6% 33.8% 45.2% 28.5%
Zunino, Mike tb 1276 -5 45.4% 17.6% 49.2% 26.4% 60.2% 65.6% 22.2% 45.1% 19.7%
Smith, Will la 1131 -5 43.9% 13.3% 50.4% 23.3% 62.3% 63% 33% 46.2% 22.5%