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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2016
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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
Posey, Buster sf 3,481 31 53.2% 26.8% 43.7% 13.9% 79.9% 68.6% 38.9% 50.5% 24.7%
Grandal, Yasmani la 3,302 28 52.7% 28.6% 48.8% 23.2% 74.6% 71.8% 31.1% 47.2% 29.8%
Martin, Russell tor 3,716 14 47.9% 18.3% 37.8% 14.9% 79.8% 59.5% 42.7% 46.7% 18.3%
Cervelli, Francisco pit 2,734 14 49.7% 15.4% 21.2% 2.9% 71.9% 56.3% 51.6% 57.7% 27.4%
Castro, Jason hou 3,118 12 49% 22.8% 41.6% 18.5% 72.8% 68.4% 35.3% 43.5% 23.4%
Molina, Yadier stl 4,087 11 47% 19.5% 46.3% 11.8% 71.6% 61.8% 33.4% 43.9% 22%
Pérez, Roberto cle 1,820 9 50.5% 23.3% 54.8% 20.2% 77.4% 66.7% 30.5% 40.9% 19.4%
Montero, Miguel chc 1,913 9 50.6% 17.3% 39.8% 18% 75.5% 60.8% 36.9% 55.2% 32.9%
Flowers, Tyler atl 2,242 9 50.5% 9.8% 29.8% 7.8% 76.8% 58.7% 49.4% 62.7% 29.3%
d'Arnaud, Travis nym 2,096 8 51.4% 28.7% 39.2% 16.3% 77% 65.7% 38% 51.9% 26.4%
Wolters, Tony col 1,585 7 49.5% 14.6% 26.2% 11% 79.2% 59% 44.9% 58.5% 29.5%
Norris, Derek sd 3,431 7 46.6% 17.6% 37.8% 14.8% 80.2% 56.3% 42.5% 43.6% 18.4%
Rivera, René nym 1,569 6 50% 22.4% 40.8% 14.3% 72.4% 70.9% 40.9% 42.8% 25.9%
Mathis, Jeff mia 1,050 5 53.1% 14% 29.8% 8.3% 70.1% 66.5% 44.2% 58.3% 45.5%
Maldonado, Martín mil 1,938 4 48.8% 19.3% 33.8% 7.3% 78.8% 57.1% 49.4% 51.7% 23.4%
Lobatón, Jose was 1,008 4 51.4% 20.9% 31.8% 1.8% 77.4% 58.4% 53.4% 59.2% 31.4%
Vázquez, Christian bos 1,461 4 48.1% 21.7% 32.3% 23.5% 71% 67% 31.3% 51.5% 25%
Casali, Curt tb 1,942 4 45.2% 30% 36.3% 16.3% 87.1% 54.6% 30.6% 36.6% 12%
Ross, David chc 1,533 3 50% 15.3% 37.7% 5.3% 68.8% 72.1% 36.8% 44.1% 33.7%
Zunino, Mike sea 1,407 3 48.3% 10.7% 36.4% 20% 67.6% 59.4% 39.3% 52.8% 28.1%
Joseph, Caleb bal 1,244 2 47.1% 36.8% 47.6% 10.6% 80.5% 47.8% 33.6% 45.8% 15.4%
Plawecki, Kevin nym 1,136 2 48.9% 17.1% 44.4% 6.5% 76.7% 63.4% 36.4% 55.9% 16.5%
Ramos, Wilson was 3,543 1 45.6% 33.2% 52.8% 10.3% 82.1% 52% 34% 33.6% 11.4%
Pérez, Carlos ana 2,283 1 47.4% 27% 43.4% 14.6% 72.9% 61.6% 30.8% 40.8% 19.6%
Gattis, Evan hou 1,474 1 49.8% 20.8% 50.3% 16.7% 76.5% 68.1% 31.8% 46.9% 17.2%
Suzuki, Kurt min 2,821 1 46.9% 19.8% 44.6% 17.5% 73.8% 61.7% 32% 36.7% 17.8%
Thole, Josh tor 1,125 1 41.7% 18.7% 46.3% 17.4% 77.4% 53.7% 23.9% 34.2% 6.1%
Contreras, Willson chc 1,671 1 48.2% 12.2% 32% 8.2% 72.1% 59.5% 44.8% 53.3% 30.2%
Castillo, Welington ari 3,231 1 47.1% 13.3% 27.1% 6.5% 70.1% 57.5% 37.1% 48.5% 24.6%
Ellis, A.J. phi 1,528 1 44.8% 21.2% 40.2% 10.6% 78.5% 58.7% 31.9% 35.6% 16%
Bethancourt, Christian sd 1,107 1 46.8% 27.1% 37.4% 17.4% 78.9% 59.9% 35.6% 37.6% 22.4%
Fryer, Eric pit 1,023 0 45.7% 18.8% 23.8% 4.2% 75.6% 51.2% 35.1% 50.7% 25%
Butera, Drew kc 1,085 0 46.3% 17.3% 20.8% 12.5% 75.5% 60.6% 39.2% 51.3% 17.5%
Gomes, Yan cle 1,935 0 44.3% 26.8% 33.9% 13% 81.8% 46.4% 39.4% 38.9% 20.6%
McCann, Brian nyy 2,512 0 47.8% 11.6% 25% 6.5% 76% 53.8% 48.6% 52.1% 23.3%
Sánchez, Gary nyy 1,038 0 48.4% 12.7% 43.8% 6.4% 75.5% 64% 35.3% 40.4% 19.3%
Brown, Trevor sf 1,247 -1 44.1% 14.3% 33.6% 2.2% 79% 56.2% 27.3% 39.5% 15.4%
Conger, Hank tb 1,120 -1 43.8% 18.8% 41.3% 13.4% 75.3% 57.1% 32.9% 40.5% 19.4%
Romine, Austin nyy 1,202 -1 46.3% 15.9% 33.6% 8.2% 82.3% 51.2% 49.5% 40.9% 13.3%
Wilson, Bobby tb 2,079 -2 44.4% 19.1% 34.3% 8.9% 78.4% 54.4% 26.9% 46.3% 18.5%
Gimenez, Chris cle 1,303 -2 44.9% 11.6% 31.4% 12.1% 77.8% 58.7% 38.3% 43.9% 18.8%
Maile, Luke tb 1,031 -2 42.1% 23.2% 42.3% 12.7% 78.7% 53.7% 24.1% 34.6% 14%
Bandy, Jett ana 1,733 -2 45.3% 11.3% 42.9% 23% 67.8% 69.9% 29.6% 39.6% 19.8%
McCann, James det 2,650 -3 46% 31% 43.5% 23% 78.7% 61.1% 32.8% 31.1% 12.9%
Rupp, Cameron phi 3,101 -3 46.3% 19.7% 36.3% 13.4% 70.6% 56.8% 33.9% 49.3% 21.9%
Barnhart, Tucker cin 3,299 -4 44.7% 13.3% 18.4% 7.1% 71.5% 56.2% 40.2% 52.9% 24.9%
Hanigan, Ryan bos 994 -5 40.1% 19.1% 45.7% 20% 72.5% 47.1% 20.7% 34.2% 7.3%
Avila, Alex cws 1,477 -5 41.6% 12.9% 28.7% 17.1% 69.6% 59.9% 24.6% 33.3% 18.8%
Lucroy, Jonathan tex 3,752 -5 44.2% 13.7% 29.6% 6.1% 73.3% 52% 34.2% 48.7% 21.6%
Holaday, Bryan bos 1,059 -6 39.8% 7.1% 29.8% 6% 74.9% 50% 29% 33.6% 26.9%
Chirinos, Robinson tex 1,413 -6 40.5% 18.3% 35.2% 12.2% 69.1% 56.6% 22.2% 36.9% 16.8%
Saltalamacchia, Jarrod det 1,804 -6 42.7% 22.9% 40.4% 22.4% 73.6% 61.7% 22.7% 23.1% 14.2%
Hundley, Nick col 2,235 -7 42.5% 17.5% 32% 12.8% 70.2% 60.5% 29.9% 37% 18.2%
León, Sandy bos 2,020 -7 44.5% 22.6% 52.3% 23.2% 73.2% 57.9% 21.8% 32.8% 12.8%
Pierzynski, A.J. atl 1,839 -8 41.7% 13.2% 30.9% 9.8% 73% 55.8% 31.5% 40.8% 14.3%
Ruiz, Carlos la 1,740 -8 42.5% 16.9% 28.4% 8.2% 78.4% 43% 36.9% 42.3% 13.1%
Centeno, Juan min 1,466 -9 40.5% 10.9% 30.3% 6% 75.2% 47.7% 27.5% 32.1% 9.2%
Navarro, Dioner tor 2,666 -10 43.4% 22.2% 43% 26.6% 66.9% 66.5% 19.2% 28.2% 13.4%
Wieters, Matt bal 3,508 -10 43% 26.5% 35.8% 10.2% 83.4% 48.8% 36.8% 34.4% 11.4%
Realmuto, J.T. mia 3,818 -11 44.9% 14.8% 27.6% 4.6% 74.8% 51% 36.8% 46% 19.5%
Vogt, Stephen oak 3,084 -12 43.8% 15.3% 38.5% 13.5% 73.8% 57.8% 27.9% 36.5% 20.6%
Iannetta, Chris sea 2,718 -14 42% 13.6% 34.8% 8.3% 69.7% 56.6% 23.5% 39.2% 20.2%
Cabrera, Ramón cin 1,380 -16 35.8% 8.7% 20.5% 10.5% 62.6% 50% 42.9% 33.7% 15.6%
Perez, Salvador kc 3,854 -17 42.6% 21.1% 41.6% 17.3% 72.7% 57.5% 24.5% 32.6% 14.8%