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 3,490 31 53.2% 27.1% 43.7% 13.9% 80% 68.7% 38.7% 50.5% 24.7%
Grandal, Yasmani la 3,304 28 52.8% 28.8% 48.9% 23% 74.6% 71.8% 31.1% 47.4% 29.7%
Martin, Russell tor 3,722 14 48% 18.2% 37.8% 14.9% 79.9% 59.5% 43.1% 46.8% 18.4%
Cervelli, Francisco pit 2,734 14 49.7% 15.6% 21.2% 2.9% 71.9% 56.5% 51.6% 57.7% 27.3%
Castro, Jason hou 3,118 12 49% 22.7% 41.7% 18.3% 72.8% 68.3% 35.5% 43.3% 23.6%
Molina, Yadier stl 4,093 11 47% 19.5% 46.5% 11.8% 71.6% 61.7% 33.4% 44.1% 22%
Montero, Miguel chc 1,915 9 50.6% 17.2% 39.8% 18% 75.6% 60.8% 36.9% 54.9% 33.2%
Flowers, Tyler atl 2,249 9 50.5% 9.8% 29.8% 7.9% 76.3% 58.7% 49.4% 62.7% 29.3%
Pérez, Roberto cle 1,821 9 50.4% 23.3% 54.4% 20.2% 77% 66.7% 30.9% 40.5% 19.3%
d'Arnaud, Travis nym 2,100 8 51.4% 28.7% 39.7% 16.5% 76.8% 65.6% 38% 52% 26.4%
Norris, Derek sd 3,438 7 46.7% 17.6% 37.8% 14.8% 80.1% 56.5% 42.9% 43.6% 18.2%
Wolters, Tony col 1,583 7 49.5% 15.7% 25.7% 10.9% 79.4% 58.9% 44.9% 58.5% 29.5%
Rivera, René nym 1,572 6 50.1% 22.4% 40.8% 14.5% 72.8% 70.8% 40.5% 42.8% 25.9%
Mathis, Jeff mia 1,050 5 53.1% 14% 29.8% 8.3% 70.1% 66.5% 44.2% 58.1% 45.9%
Casali, Curt tb 1,942 4 45.2% 30% 36.3% 16.3% 87.1% 54.5% 30.8% 36.7% 12%
Lobatón, Jose was 1,011 4 51.5% 20.9% 31.8% 1.8% 77.5% 59% 54.1% 59% 31.4%
Maldonado, Martín mil 1,939 4 48.8% 19.1% 34.2% 7.3% 78.8% 57.1% 49.4% 51.7% 23.4%
Vázquez, Christian bos 1,465 4 48.1% 21.7% 32.2% 23.5% 71% 67.2% 31% 51.5% 25%
Zunino, Mike sea 1,407 3 48.3% 10.5% 36.4% 20% 67.6% 59.4% 39.3% 52.6% 28.1%
Ross, David chc 1,534 3 50% 15.3% 37.7% 5.3% 68.8% 71.8% 36.8% 44.1% 34.1%
Joseph, Caleb bal 1,247 3 47.1% 36.8% 47.6% 10.6% 80.5% 48% 34.2% 45.3% 15.4%
Plawecki, Kevin nym 1,138 2 49% 17.1% 44.7% 6.5% 76.7% 63.4% 37.2% 56.3% 16.5%
Pérez, Carlos ana 2,287 1 47.4% 26.8% 43.7% 14.6% 73% 61.8% 30.4% 40.9% 19.7%
Gattis, Evan hou 1,477 1 49.8% 19.8% 50.3% 16.7% 76.5% 68.2% 32.3% 46.8% 17.2%
Suzuki, Kurt min 2,829 1 46.9% 19.8% 45.1% 17.5% 73.6% 61.7% 31.9% 36.8% 17.8%
Contreras, Willson chc 1,672 1 48.1% 12% 32% 8.2% 72.1% 59.5% 45.5% 52.9% 30%
Castillo, Welington ari 3,238 1 47.1% 13.2% 27% 6.5% 70.2% 57.5% 36.9% 48.8% 24.6%
Ellis, A.J. phi 1,531 1 44.8% 21.2% 40% 10.6% 78.6% 58.6% 31.9% 36% 16%
Bethancourt, Christian sd 1,109 1 46.9% 27.1% 37.9% 17.4% 79.4% 59.4% 36.3% 37.1% 23.3%
Thole, Josh tor 1,127 1 41.8% 18.7% 46.7% 17% 77.4% 54% 23.9% 34.5% 6.1%
Ramos, Wilson was 3,543 1 45.6% 33.9% 52.7% 10.7% 82.2% 52% 34% 33.5% 11.4%
Fryer, Eric pit 1,026 0 45.6% 18.4% 23.8% 4.2% 75.6% 51.2% 34.8% 50.9% 25%
Sánchez, Gary nyy 1,037 0 48.4% 12.7% 43.8% 6.4% 75.5% 64% 35.3% 40.6% 19.3%
McCann, Brian nyy 2,514 0 47.8% 11.7% 24.9% 5.7% 75.9% 54% 49% 51.9% 23.1%
Butera, Drew kc 1,083 0 46.3% 17.1% 20.5% 12.2% 75.7% 61.1% 40% 51% 17.3%
Gomes, Yan cle 1,941 0 44.3% 26.6% 33.8% 13% 81.9% 46.8% 39.4% 38.9% 20.4%
Romine, Austin nyy 1,204 -1 46.3% 15.9% 33.8% 8% 82.4% 51.2% 49.5% 40.9% 13.3%
Brown, Trevor sf 1,247 -1 44% 14% 33.3% 2.2% 79.4% 56% 27% 39.7% 15.4%
Bandy, Jett ana 1,734 -2 45.3% 11.3% 42.6% 24.2% 67.8% 70.1% 29.4% 39.7% 19.8%
Rupp, Cameron phi 3,102 -2 46.3% 19.7% 36.3% 13.4% 70.6% 56.9% 33.9% 49.3% 21.9%
Wilson, Bobby tb 2,081 -2 44.4% 19% 34.3% 8.8% 78.7% 54.5% 26.9% 46.4% 18.5%
Maile, Luke tb 1,031 -2 42.2% 22.9% 42.6% 12.7% 79.1% 53.7% 24.1% 35% 14%
Gimenez, Chris cle 1,304 -2 44.9% 11.6% 31.4% 12.1% 77.8% 58.7% 37.8% 44.4% 18.8%
Conger, Hank tb 1,120 -2 43.9% 18.8% 41.6% 13.4% 75.4% 57.1% 32.9% 40.5% 19.4%
McCann, James det 2,657 -3 46.1% 31.4% 43.7% 23% 78.9% 61.3% 32.4% 30.9% 12.9%
Barnhart, Tucker cin 3,301 -4 44.8% 13.2% 18.6% 7.1% 71.5% 56.3% 40.2% 52.7% 25.2%
Hanigan, Ryan bos 995 -5 40.2% 19.1% 46% 22.2% 72.5% 46.6% 20.7% 34.4% 7.2%
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 3,758 -5 44.1% 13.8% 29.3% 6% 73.2% 52.1% 34% 48.6% 21.7%
Holaday, Bryan bos 1,060 -6 39.8% 7.1% 29.8% 5.9% 74.9% 50.2% 29% 33.6% 26.2%
Saltalamacchia, Jarrod det 1,804 -6 42.8% 22.9% 40.4% 22.4% 73.8% 61.7% 22.7% 23.4% 14.2%
Chirinos, Robinson tex 1,416 -6 40.6% 18.3% 35.2% 12.2% 69.3% 56.9% 22.4% 36.8% 16.8%
León, Sandy bos 2,023 -7 44.6% 22.6% 52.1% 23.6% 73.8% 57.9% 21.6% 33% 12.8%
Hundley, Nick col 2,239 -7 42.5% 17.5% 32.3% 12.8% 70.4% 60.6% 30.2% 37% 18.2%
Ruiz, Carlos la 1,743 -8 42.6% 16.9% 28.4% 8.2% 78.5% 43.2% 36.7% 42.4% 13.1%
Pierzynski, A.J. atl 1,840 -8 41.7% 13.2% 30.6% 9.8% 73.1% 55.8% 31.5% 41.1% 14.2%
Navarro, Dioner tor 2,669 -10 43.4% 22.3% 43.2% 26.8% 67% 66.5% 18.9% 28.3% 12.9%
Centeno, Juan min 1,468 -10 40.5% 10.9% 30.6% 6% 75.1% 47.4% 27.5% 32.1% 9.2%
Wieters, Matt bal 3,508 -10 43% 26.9% 35.9% 10.9% 83.4% 48.5% 36.6% 34.3% 11.5%
Realmuto, J.T. mia 3,827 -11 44.9% 14.7% 27.7% 4.5% 74.8% 51.2% 36.8% 46.1% 19.3%
Vogt, Stephen oak 3,085 -12 43.9% 15.3% 38.7% 13.5% 74% 57.8% 27.8% 36.5% 20.7%
Iannetta, Chris sea 2,722 -14 42% 13.6% 34.6% 8.3% 69.4% 56.4% 24.1% 39.2% 20.2%
Cabrera, Ramón cin 1,382 -16 35.8% 8.5% 20.7% 10.4% 62.6% 50% 42% 34.1% 15.6%
Perez, Salvador kc 3,860 -17 42.7% 20.8% 41.8% 17.3% 72.7% 57.4% 24.8% 32.8% 14.8%