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: Qualified
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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
Bailey, Patrick sf 3,214 16 52.5% 23.3% 57.4% 28.4% 64.6% 70.5% 29.8% 54.8% 32.2%
Raleigh, Cal sea 3,404 13 49.1% 22.4% 55% 30% 60.9% 68.5% 30% 46.3% 28.4%
Wells, Austin nyy 3,111 12 48.6% 23% 49.3% 23.9% 58.1% 66% 31.5% 55.1% 29.3%
Kirk, Alejandro tor 2,586 10 49.8% 21.7% 50.7% 21.9% 67.3% 61.2% 34.6% 56.1% 28.8%
Trevino, Jose nyy 1,890 10 50.7% 22.3% 47.3% 19% 61% 74.4% 33.6% 52.4% 35.7%
Rogers, Jake det 2,525 9 51% 19.6% 52.6% 26.7% 61.7% 64.3% 35.5% 59% 30.1%
Naylor, Bo cle 3,105 8 49.3% 23.9% 48.4% 19.6% 66.9% 68.1% 34.8% 50.2% 22%
Grandal, Yasmani pit 1,843 6 48.8% 12.3% 48.8% 29% 47.5% 70.6% 34.4% 52.1% 37.6%
Alvarez, Francisco nym 2,754 6 46.7% 15.2% 48% 22.1% 52.3% 66.2% 35.7% 53.9% 28.4%
Hedges, Austin cle 1,464 6 50.8% 29.2% 53.1% 18.3% 62.2% 69.8% 30.6% 54.6% 24.8%
Vázquez, Christian min 2,306 6 49.1% 17.4% 53.5% 29.6% 63.8% 72.8% 27.9% 44.7% 27.7%
Jackson, Alex tb 1,297 4 50.9% 11.3% 53.7% 26.2% 55.6% 71.6% 17% 58.2% 29.6%
Caratini, Victor hou 1,581 3 49.1% 19.6% 52.2% 29.6% 65.4% 68.6% 30% 48% 24.1%
McGuire, Reese bos 1,201 2 50.3% 24.4% 44.9% 26.2% 61% 66.5% 33.3% 63.1% 27.1%
Herrera, Jose ari 984 2 48.5% 14.9% 52.9% 28.3% 58.5% 65.2% 30.6% 46.6% 30%
Murphy, Sean atl 1,950 2 47.3% 13% 44.3% 22% 55.2% 69.4% 30.6% 54.9% 23%
Moreno, Gabriel ari 2,436 2 47.4% 17.9% 37.1% 16% 60.7% 65.5% 36.4% 59% 21.9%
Rortvedt, Ben tb 2,445 2 46.8% 12.5% 52.6% 20.7% 54.8% 68% 27.3% 48.6% 31.5%
Díaz, Elias sd 2,138 2 46.9% 31.4% 57.5% 32.4% 66.3% 61.6% 22.2% 37% 14%
Pagés, Pedro stl 1,779 1 45.8% 23.1% 48.6% 17.1% 63% 61.5% 29% 46.9% 18.2%
Higashioka, Kyle sd 2,383 1 47.5% 18.1% 47.7% 23.5% 59% 66.3% 31.4% 54% 23.4%
Torrens, Luis nym 1,019 1 48.9% 19.2% 53.8% 10.3% 63.3% 66.8% 30.6% 53.4% 26.2%
Herrera, Iván stl 1,551 1 47.5% 17.3% 42.6% 14% 63.8% 62.5% 34% 55.7% 27.9%
Kelly, Carson tex 2,161 1 48.5% 15.6% 40.8% 31.8% 64.1% 68.9% 35.2% 52.2% 26%
d'Arnaud, Travis atl 2,235 0 47.2% 21.7% 51.9% 20.3% 59% 64.5% 28.6% 51.1% 19.4%
Contreras, William mil 3,609 0 48% 15.3% 43.8% 25.6% 59.4% 67% 34.9% 54.1% 28%
Nido, Tomás chc 1,184 0 45.7% 11.3% 48% 24.4% 42.3% 77.1% 28.4% 45.2% 25.2%
Barnes, Austin la 1,158 0 45% 12.1% 39.4% 10.7% 58.4% 66.7% 21.1% 52.2% 31.5%
Stephenson, Tyler cin 3,344 -1 44.5% 20.3% 51.9% 32.3% 55.1% 67.6% 20.9% 43.3% 18.2%
Fermin, Freddy kc 2,232 -1 47.8% 13.9% 38.5% 19.1% 57.2% 67.3% 27% 63.9% 26.8%
Ruiz, Keibert was 3,129 -1 45% 19.2% 45.7% 25.3% 61.2% 66.8% 22% 44.2% 20.6%
O'Hoppe, Logan ana 3,475 -1 44.8% 24.8% 48.3% 22.2% 61.8% 57.4% 32.7% 46% 19.5%
Heim, Jonah tex 3,130 -1 47% 22% 42.6% 29.3% 61.5% 66.3% 29% 48% 21.5%
Fortes, Nick mia 2,922 -1 46.4% 22.2% 41.7% 20.8% 57.1% 64.3% 32.5% 52.8% 26%
Contreras, Willson stl 1,392 -2 44.1% 12.8% 52.6% 19.8% 62.3% 59.2% 30.1% 45.3% 18.5%
Perez, Salvador kc 2,796 -2 46.9% 16.9% 45.7% 17.9% 59% 64.9% 37.4% 50.9% 25%
Stubbs, Garrett phi 1,362 -2 43.8% 11.8% 35.5% 8.8% 55.6% 61.4% 26.8% 52.9% 25%
Casali, Curt sf 1,166 -2 47.2% 25% 48.1% 22.4% 61.8% 64.5% 29.6% 52.9% 15.7%
Bart, Joey pit 1,862 -2 43.6% 8.8% 38.7% 32.3% 48.2% 69.1% 19.8% 49.8% 27.1%
Rutschman, Adley bal 2,996 -3 46% 33.2% 54% 33.3% 62% 65% 26.2% 38.5% 13.8%
McCann, Kyle oak 1,113 -3 44.9% 13.6% 42.6% 21.3% 55.6% 66% 32.8% 46.3% 22.7%
Realmuto, J.T. phi 2,966 -3 45.2% 12.6% 37.8% 12.5% 62.2% 62.3% 34% 52.3% 19.7%
Jansen, Danny bos 2,175 -3 43.5% 20.6% 47.7% 16.5% 59.8% 63.7% 27.5% 38.9% 20.3%
Thaiss, Matt ana 1,154 -3 42.4% 23.4% 44.4% 19.3% 57.5% 58.8% 25% 44.1% 14.4%
Maldonado, Martín cws 1,353 -3 42.4% 15.4% 43% 26.7% 53% 67% 20.5% 37.6% 19.9%
Maile, Luke cin 1,248 -4 40.6% 9.8% 52.3% 28.2% 48% 69.6% 15.8% 35.6% 11.3%
Adams, Riley was 1,100 -4 41.5% 6.8% 41.3% 11.5% 53% 57.6% 35.6% 50% 26.8%
Bethancourt, Christian chc 1,338 -4 45.3% 20.9% 45.2% 29% 65.7% 68.2% 25% 41.8% 13.3%
Amaya, Miguel chc 3,091 -5 45.9% 27.3% 52.5% 22.1% 55.8% 62.2% 27.4% 48.9% 23.4%
Langeliers, Shea oak 3,680 -5 43.9% 18.8% 50.4% 25% 59.4% 66.4% 19.7% 39.1% 18.3%
McCann, James bal 1,814 -5 44.8% 25% 49.6% 26% 54% 58.6% 27.2% 52.6% 19.4%
Diaz, Yainer hou 3,083 -7 45.2% 19.4% 54.4% 26.6% 61.6% 62.7% 23% 40.8% 22.4%
Wong, Connor bos 2,868 -7 45.5% 12.1% 46.4% 20.2% 55.2% 68.5% 32.8% 48.9% 19.5%
Jeffers, Ryan min 2,280 -7 44.6% 19.2% 50.5% 19.2% 55.7% 59.5% 31% 52% 15.6%
Lee, Korey cws 2,990 -7 43% 18.9% 45.5% 13.7% 60.2% 60.6% 23.2% 48.6% 19.3%
Stallings, Jacob col 2,144 -7 42.7% 13.6% 46% 18.5% 57.1% 65% 24.4% 42.1% 24.2%
Campusano, Luis sd 2,130 -8 44% 17.7% 49.7% 20.7% 46.7% 69.1% 25.2% 48% 24.4%
Smith, Will la 3,913 -10 43.6% 18.4% 46.9% 19.7% 58% 61.7% 29.7% 46.9% 19.8%