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 3,716 21 52% 16% 38.1% 16.2% 64.3% 74.4% 38.5% 57.1% 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 10 51.9% 17% 37.2% 13.3% 70.2% 64.6% 40.4% 60.4% 34%
Grandal, Yasmani la 3,168 8 50.5% 13.2% 28.9% 12.4% 62.6% 76.2% 34.9% 63.9% 37.3%
Pérez, Roberto cle 2,078 8 49.9% 13.3% 37.5% 20.5% 65.1% 70.8% 41.5% 55.3% 33.3%
Molina, Yadier stl 3,781 7 49.2% 22.1% 40.4% 22.3% 66.3% 67.5% 39.3% 50.3% 26.6%
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%
Joseph, Caleb bal 2,058 6 51.7% 15.6% 27.8% 9% 73.9% 68.7% 38.9% 54.8% 37.2%
Vogt, Stephen mil 1,985 6 50.6% 16.3% 32.6% 19.7% 58.4% 71.8% 38.7% 53% 39.3%
Romine, Austin nyy 1,747 5 50.2% 20.5% 40.1% 11.8% 67.4% 68.1% 41.9% 53.3% 29.5%
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%
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%
Martin, Russell tor 2,272 3 49.5% 23.8% 38% 26.6% 63.4% 70.7% 28% 49.7% 32.5%
Garneau, Dustin oak 1,029 3 48.4% 7.9% 30.5% 18.2% 61% 70.9% 40% 50.4% 37.6%
Barnes, Austin la 1,732 3 49.6% 14.6% 24.4% 8.7% 57.1% 71.3% 42.2% 63.8% 45.7%
Posey, Buster sf 2,632 3 49.1% 25.9% 38.9% 12.7% 72.4% 62.7% 33.9% 51.5% 26.5%
Montero, Miguel tor 1,470 3 48.3% 10.2% 42.9% 17.2% 60.4% 68.9% 27.6% 54.7% 32%
Rivera, René chc 2,014 3 47.8% 12.5% 34.1% 14.5% 62.5% 69.9% 29.9% 51.9% 37.9%
Phegley, Josh oak 1,338 3 50.4% 11.1% 16.3% 10.9% 66.8% 69.4% 43.9% 59.6% 34.6%
Iannetta, Chris ari 2,185 1 48.1% 6.7% 27.3% 11.2% 62.4% 69.8% 33.9% 53.3% 39.5%
Stewart, Chris pit 1,150 1 48.3% 17.2% 33.1% 11.1% 63.2% 67.1% 42.1% 54.9% 30.9%
Gimenez, Chris min 1,658 1 46.8% 17.8% 35.4% 19.6% 63% 71.4% 28% 44.3% 22.7%
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%
Norris, Derek tb 1,570 1 47.6% 7.6% 32% 16.1% 64.1% 72.1% 43% 55.2% 27.9%
Castro, Jason min 2,913 1 47.3% 10.6% 38.6% 22.2% 63.4% 74.1% 27.6% 44.3% 25.9%
Ramos, Wilson tb 1,634 0 46.8% 21.2% 41.9% 21.3% 72% 67.2% 25.3% 37% 25.8%
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%
León, Sandy bos 2,390 -1 47.6% 23.5% 45.2% 24.8% 64.6% 66.8% 29.4% 46.2% 19.8%
Maile, Luke tor 1,069 -1 49.4% 20% 40.5% 27.1% 68.4% 72.9% 31.2% 49.8% 33.6%
Narváez, Omar cws 2,349 -1 45.6% 26.2% 46.2% 19.3% 67.8% 63.2% 24.6% 37.8% 21.1%
Maxwell, Bruce oak 1,894 -1 45.1% 18.1% 34.7% 17.2% 67.8% 58.1% 40.1% 46.6% 26.4%
Wolters, Tony col 2,081 -1 43.2% 9.9% 32.3% 15.1% 58.3% 60.9% 32.2% 50% 28.1%
McCann, Brian hou 3,264 -1 49.1% 10.9% 18.1% 13.2% 70.3% 62.4% 48.9% 59.3% 31.5%
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%
Knapp, Andrew phi 1,573 -3 46.7% 16.8% 41.9% 17.9% 68.3% 66.5% 38.8% 37.6% 22.2%
Torrens, Luis sd 1,029 -3 44% 11% 33.3% 17.5% 72.1% 56.3% 26.6% 45.8% 18.9%
Chirinos, Robinson tex 2,328 -3 44.4% 13.1% 36.1% 11.9% 61.8% 67.2% 26.6% 45.8% 28.5%
Castillo, Welington bal 2,680 -3 47.6% 16.7% 23.2% 14.3% 67.7% 70.2% 33.2% 48.9% 30.5%
Contreras, Willson chc 3,273 -4 46% 12.5% 29.5% 15.8% 57.4% 69.7% 32.4% 44.3% 33.3%
Herrmann, Chris ari 1,069 -4 45.3% 8.5% 27.5% 7.8% 59.9% 71.2% 26.1% 48.4% 36.6%
Avila, Alex chc 2,162 -5 43.4% 19.2% 40.1% 14% 66.1% 57.2% 25.1% 40.7% 19.4%
Ruiz, Carlos sea 1,195 -5 41.3% 15.3% 16.4% 14.3% 62% 53% 26.5% 51.2% 20.7%
Piña, Manny mil 2,532 -5 46.8% 20.1% 37.3% 15.6% 69.2% 71% 31.4% 40.3% 22.5%
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%
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%
Rupp, Cameron phi 2,519 -10 43.3% 17.2% 38.6% 18.9% 65.2% 68% 19.3% 36.5% 16%
Barnhart, Tucker cin 3,135 -10 43.5% 15.2% 32.7% 12.5% 60.1% 65.3% 34% 43.4% 23.3%
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 -11 41.8% 14.4% 26.3% 10.1% 58.4% 61.4% 29.1% 44.6% 25.1%
Wieters, Matt was 3,456 -12 43.5% 21.4% 34.6% 15% 66.2% 58.8% 28.1% 42.9% 18.3%
Perez, Salvador kc 3,278 -13 44.1% 15.6% 33.2% 15.2% 67.1% 58% 33.7% 46.9% 19.9%