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.

This archival leaderboard is no longer supported, as it relies on an old framing model, and only shows season-level data from 2015-17. For more robust data from 2018-present using the new framing model, find the updated version of our Catcher Framing Leaderboard at this link.

View: Catcher
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Team
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2017
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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
Maldonado, Martín ana 3,717 21 52% 16% 38.1% 16.2% 64.3% 74.4% 38.5% 57% 37.4%
Flowers, Tyler atl 2,400 16 54.3% 14.8% 31.4% 15.1% 65% 82.2% 38% 62.2% 46.2%
Hedges, Austin sd 3,121 11 51.9% 17% 37.2% 13.3% 70.2% 64.6% 40.4% 60.4% 33.8%
Molina, Yadier stl 3,782 8 49.2% 22.1% 40.4% 22.3% 66.2% 67.5% 39.3% 50.3% 26.6%
Pérez, Roberto cle 2,078 8 49.9% 13.3% 37.5% 20.5% 65.1% 70.8% 41.5% 55.3% 33.3%
Grandal, Yasmani la 3,168 8 50.5% 13.2% 28.9% 12.4% 62.6% 76.2% 34.9% 63.9% 37.3%
d'Arnaud, Travis nym 2,773 7 49.9% 21.4% 47.1% 20.1% 67.8% 67% 39.3% 48.5% 30.3%
Zunino, Mike sea 3,324 7 47.4% 15.2% 35.6% 18.1% 62.7% 67% 31.8% 54.5% 26.7%
Gomes, Yan cle 2,739 7 49.5% 23.2% 29.2% 12.6% 73% 58.5% 46.2% 60.8% 24%
Vogt, Stephen mil 1,985 6 50.6% 16.3% 32.6% 19.7% 58.4% 71.8% 38.7% 53% 39.3%
Joseph, Caleb bal 2,058 6 51.7% 15.6% 27.8% 9% 73.9% 68.7% 38.9% 54.8% 37.2%
Mathis, Jeff ari 1,552 5 54.3% 8.6% 11.6% 3.8% 60.4% 70.1% 50.9% 69.9% 52.4%
Vázquez, Christian bos 2,717 5 49.9% 14.1% 38.9% 23.8% 68.5% 72.7% 37.6% 49.3% 33.8%
Romine, Austin nyy 1,747 5 50.2% 20.5% 40.1% 11.8% 67.4% 68.1% 41.9% 53.3% 29.5%
Realmuto, J.T. mia 3,819 4 46.7% 14.5% 33.3% 10.6% 68.8% 60.7% 39.7% 48.8% 24.4%
Sucre, Jesús tb 1,571 4 49.3% 8% 32.1% 15.5% 72.8% 66.7% 43.2% 54.3% 28.8%
Phegley, Josh oak 1,338 4 50.4% 11.1% 16.3% 10.9% 66.8% 69.5% 43.9% 59.6% 34.3%
Barnes, Austin la 1,732 3 49.6% 14.6% 24.4% 8.7% 57.1% 71.3% 42.2% 63.8% 45.7%
Montero, Miguel tor 1,470 3 48.2% 10.2% 42.5% 14.5% 60.4% 69.1% 27.6% 54.5% 32%
Garneau, Dustin oak 1,029 3 48.4% 7.9% 30.5% 18.2% 61% 70.9% 40% 50.4% 37.6%
Rivera, René chc 2,014 3 47.8% 12.5% 34.1% 14.5% 62.5% 69.9% 29.9% 51.9% 37.9%
Posey, Buster sf 2,634 3 49.1% 25.9% 38.9% 12.7% 72.4% 62.7% 33.9% 51.5% 26.5%
Martin, Russell tor 2,272 3 49.5% 23.8% 38% 26.6% 63.4% 70.7% 28% 49.7% 32.5%
Stewart, Chris pit 1,150 1 48.3% 17.2% 33.1% 11.1% 63.2% 67.1% 42.1% 54.9% 30.9%
Norris, Derek tb 1,570 1 47.6% 7.6% 32% 16.1% 64.1% 72.1% 43% 55.2% 27.9%
Gimenez, Chris min 1,658 1 46.8% 17.8% 35.4% 19.6% 63% 71.4% 28% 44.3% 22.7%
Castro, Jason min 2,912 1 47.3% 10.6% 38.6% 22.2% 63.4% 74.1% 27.6% 44.2% 25.9%
Iannetta, Chris ari 2,185 1 48.1% 6.7% 27.3% 11.2% 62.4% 69.8% 33.9% 53.3% 39.5%
Gattis, Evan hou 1,423 1 49.2% 2% 36.5% 27.9% 65.6% 70.2% 37.5% 58.8% 23.6%
Lobatón, Jose was 1,331 1 47% 18.3% 33.6% 7.9% 66.7% 62.4% 34.1% 48.6% 33%
Cervelli, Francisco pit 2,100 0 48% 13.1% 17.2% 4.2% 68.8% 60.9% 44.7% 58.1% 29.5%
Bandy, Jett mil 1,374 0 49.8% 12.7% 34.2% 17.6% 68.9% 66.2% 50.4% 50.2% 28.7%
Smith, Kevan cws 2,177 0 46.5% 21.7% 46% 19.2% 69.9% 67.6% 25.6% 36.8% 22.7%
Ramos, Wilson tb 1,634 0 46.8% 21.2% 41.9% 21.3% 72% 67.2% 25.3% 37% 25.8%
McCann, Brian hou 3,264 -1 49.1% 10.9% 18.1% 13.2% 70.3% 62.4% 48.9% 59.3% 31.5%
Maile, Luke tor 1,070 -1 49.3% 20% 40.2% 27.1% 68.4% 72.9% 31.2% 49.8% 33.6%
Maxwell, Bruce oak 1,894 -1 45.1% 18.1% 34.7% 17.2% 67.8% 58.1% 40.1% 46.6% 26.4%
Narváez, Omar cws 2,349 -1 45.6% 26.2% 46.2% 19.3% 67.8% 63.2% 24.6% 37.8% 21.1%
Wolters, Tony col 2,081 -1 43.2% 9.9% 32.3% 15.1% 58.3% 60.9% 32.2% 50% 28.1%
León, Sandy bos 2,390 -1 47.6% 23.5% 45.2% 24.8% 64.6% 66.8% 29.4% 46.2% 19.8%
Hundley, Nick sf 2,119 -2 45.5% 12% 39.5% 13.4% 63.3% 67.6% 29.4% 44.2% 26.5%
Sánchez, Gary nyy 3,243 -2 46.8% 18.1% 47% 22.1% 66.8% 73.6% 26.3% 38.1% 22.1%
Ellis, A.J. mia 1,073 -2 43.3% 16.2% 44.5% 15.8% 67.9% 62.4% 26.5% 39.6% 12.8%
Chirinos, Robinson tex 2,328 -2 44.4% 13.1% 36.1% 11.9% 61.8% 67.2% 26.6% 45.8% 28.5%
Torrens, Luis sd 1,029 -3 44% 11% 33.3% 17.5% 72.1% 56.3% 26.6% 45.8% 18.9%
Castillo, Welington bal 2,681 -3 47.6% 16.1% 23% 14.3% 67.6% 70.2% 33.2% 48.9% 30.5%
Knapp, Andrew phi 1,573 -3 46.7% 16.8% 41.9% 17.9% 68.3% 66.5% 38.8% 37.6% 22.2%
Herrmann, Chris ari 1,069 -4 45.3% 8.5% 27.5% 7.8% 59.9% 71.2% 26.1% 48.4% 36.6%
Contreras, Willson chc 3,273 -4 46% 12.5% 29.5% 15.8% 57.4% 69.7% 32.4% 44.3% 33.3%
Ruiz, Carlos sea 1,195 -5 41.3% 15.3% 16.4% 14.3% 62% 53% 26.5% 51.2% 20.7%
Avila, Alex chc 2,162 -5 43.4% 19.2% 40.1% 14% 66.1% 57.2% 25.1% 40.7% 19.4%
Suzuki, Kurt atl 2,115 -5 46.1% 14.5% 36.4% 17% 56% 72.3% 25.2% 44.1% 28%
Mesoraco, Devin cin 1,098 -5 41.3% 13.8% 35.1% 12.2% 63.4% 53.5% 24.7% 45.4% 18.6%
Piña, Manny mil 2,532 -5 46.8% 20.1% 37.3% 15.6% 69.2% 71% 31.4% 40.3% 22.5%
Butera, Drew kc 1,543 -6 42.6% 9.2% 33.6% 8% 64.8% 57.7% 36.9% 43.3% 22.8%
Díaz, Elias pit 1,455 -8 40.8% 20.6% 35.3% 10.4% 70.2% 50.8% 30.2% 39% 14.5%
Barnhart, Tucker cin 3,135 -10 43.5% 15.2% 32.7% 12.5% 60.1% 65.3% 34% 43.4% 23.3%
Rupp, Cameron phi 2,519 -10 43.3% 17.2% 38.6% 18.9% 65.2% 68% 19.3% 36.5% 16%
McCann, James det 3,072 -10 42.6% 20.1% 38.8% 14.9% 65.5% 60.2% 27.3% 38.8% 15.2%
Lucroy, Jonathan col 3,215 -10 41.8% 14.4% 26.3% 10.1% 58.4% 61.4% 29.1% 44.6% 25.1%
Perez, Salvador kc 3,278 -12 44.1% 15.6% 33.2% 15.2% 67.1% 58% 33.7% 46.9% 19.9%
Wieters, Matt was 3,456 -12 43.5% 21.4% 34.6% 15% 66.2% 58.8% 28.1% 42.9% 18.3%