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.



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
Grandal, Yasmani la 2,843 25 52.3% 32.2% 50.8% 20.4% 74% 74.8% 38.1% 37% 35.1%
Cervelli, Francisco pit 3,513 21 52.5% 14.9% 30.6% 12.5% 71.9% 68% 51% 53.5% 33.1%
Posey, Buster sf 2,762 15 52.2% 19.5% 46.6% 10.9% 75.2% 69.2% 40.3% 47% 28.6%
Norris, Derek sd 3,477 15 48.3% 19.9% 35.8% 12% 83% 57.8% 51.7% 42.2% 18.6%
Montero, Miguel chc 2,799 13 51.2% 16.1% 32.1% 10.7% 78.2% 65.6% 46.7% 54.6% 28.1%
Flowers, Tyler cws 2,876 10 50.4% 9.6% 35.3% 11.9% 69.8% 67.6% 41.6% 54.8% 32.1%
Castro, Jason hou 2,916 10 51.4% 24.1% 35.1% 16.4% 75.1% 74% 37.7% 46.2% 28.5%
Molina, Yadier stl 3,581 9 48.6% 19.1% 44.6% 13.1% 76.7% 62.2% 36.5% 43.1% 20.3%
Iannetta, Chris ana 2,456 9 48.9% 28.3% 44.1% 14.8% 75.1% 63.3% 37.6% 45.7% 23.3%
Plawecki, Kevin nym 1,831 8 51.9% 11.8% 41.8% 6.2% 76.5% 69.2% 41.7% 53.4% 29.1%
Zunino, Mike sea 2,878 8 48.6% 27.1% 37.9% 8.1% 77.1% 53.7% 34.2% 53.8% 27.8%
d'Arnaud, Travis nym 2,253 8 50.1% 17.6% 37.4% 13.3% 77.4% 60.3% 46.3% 52.6% 24.9%
Rivera, René tb 2,507 7 49.3% 23.7% 35.3% 5.7% 80.2% 59.3% 48% 50.4% 21.7%
Hedges, Austin sd 1,223 6 51.8% 23.3% 35.6% 18.5% 74.5% 66.9% 43.3% 59.4% 19.1%
Joseph, Caleb bal 2,775 5 47.1% 23.6% 38.4% 10.8% 84.2% 51.1% 40.5% 45.5% 18.9%
Stewart, Chris pit 1,133 4 51.1% 4.1% 39.1% 13.7% 72.1% 63% 47.7% 55.3% 31.1%
Sucre, Jesús sea 1,224 4 49.2% 19.4% 36.2% 8.3% 78% 56.4% 40.2% 49.3% 26.1%
Wilson, Bobby tex 1,293 3 47.2% 23.9% 38.3% 14.8% 79.7% 56.9% 30.9% 50.3% 22.7%
Lobatón, Jose was 1,099 3 52% 20% 28% 13.7% 80% 61.3% 49.4% 51.8% 35.9%
Maldonado, Martín mil 2,066 3 48.5% 15.8% 30.6% 16.7% 77.7% 62.8% 37.6% 48.6% 29.7%
Ross, David chc 1,326 3 52.3% 22.4% 30.2% 6% 76% 68.2% 39.3% 49.1% 32.9%
Barnhart, Tucker cin 2,081 2 47.2% 19% 18.6% 3.2% 73.7% 56.2% 42.7% 49% 30.7%
Corporán, Carlos tex 1,004 2 48.2% 25% 41% 8.2% 78.7% 54.5% 48.6% 46.5% 19.1%
Lucroy, Jonathan mil 2,419 1 47.5% 20% 33.3% 10% 76.5% 62.1% 42.9% 49.5% 20.4%
Hanigan, Ryan bos 1,583 1 48.7% 20.2% 38.8% 15.7% 75.7% 60.7% 41.6% 51.5% 23.4%
Conger, Hank hou 1,606 1 48.1% 17.9% 33% 9.3% 75.8% 65.2% 40.7% 48.5% 30%
Pérez, Roberto cle 1,740 1 47.1% 20% 32.5% 17.7% 72.9% 63.4% 39% 47% 25.7%
Wieters, Matt bal 1,646 0 46.2% 28.3% 41.7% 15.9% 82.5% 44.9% 42% 40.1% 8.3%
Murphy, John Ryan nyy 1,435 0 48.2% 19.8% 37.6% 6% 82.7% 55% 39.3% 46% 15.4%
Pérez, Carlos ana 2,129 0 45.7% 25.3% 38.2% 7.1% 73.8% 52.6% 31.9% 49.4% 18.3%
Gosewisch, Tuffy ari 993 0 46.6% 8.7% 30.6% 10.7% 73.1% 61% 40.5% 43.7% 24.2%
Soto, Geovany cws 1,524 -1 46.9% 11.7% 33.8% 11.7% 74.4% 62.8% 29.6% 48.9% 29.8%
Martin, Russell tor 3,432 -2 46% 26.8% 36.1% 10.9% 77.5% 55.3% 37.1% 44.9% 16.4%
Gimenez, Chris tex 1,026 -2 43.5% 19.2% 28.6% 5% 83.3% 52.7% 43.7% 40.3% 18.6%
Navarro, Dioner tor 1,068 -2 43.5% 24.2% 41.2% 20% 77.9% 58.5% 30.6% 28.6% 14.6%
Castillo, Welington ari 2,542 -3 44.7% 11.2% 28.3% 6.5% 68.1% 58.6% 34.1% 48.5% 22.8%
Bethancourt, Christian atl 1,218 -3 43.4% 16.9% 30% 7.3% 83.3% 46.4% 43.4% 40.8% 10.6%
Vogt, Stephen oak 2,662 -3 45.5% 15.1% 26.7% 12% 77.6% 62.3% 31.4% 38.5% 21.4%
Butera, Drew kc 1,033 -4 44.1% 16.4% 32.1% 10.2% 75.3% 61.9% 43.9% 39.7% 15.9%
Phegley, Josh oak 1,800 -4 45.8% 14.3% 19.3% 5.3% 79.9% 54.4% 34.8% 47.6% 26%
Ramos, Wilson was 3,247 -4 46.7% 34.2% 50.4% 17.3% 82.3% 51.3% 27.1% 35.2% 7.8%
Rupp, Cameron phi 2,173 -5 44.5% 16.5% 30.4% 13.3% 76.5% 59.8% 25.8% 42.8% 21.2%
Peña, Brayan cin 2,489 -5 43.7% 21% 34.2% 15.8% 72% 58.9% 36.2% 34.9% 19.5%
Saltalamacchia, Jarrod ari 1,314 -5 43.9% 16.4% 33.6% 16.3% 73.6% 61.9% 23.6% 35.7% 18.8%
McCann, Brian nyy 3,562 -5 45.9% 21.3% 22.7% 4.5% 82.5% 48.7% 44.5% 46.4% 15.7%
Avila, Alex det 1,297 -6 42.8% 19.1% 32.4% 16.1% 73.2% 54.2% 35.2% 38.8% 13.2%
Gomes, Yan cle 2,419 -6 44.2% 16.1% 33.3% 14.4% 83.3% 46% 41.9% 43.9% 11.8%
Chirinos, Robinson tex 2,366 -7 44.6% 14% 34.2% 4.1% 75.7% 56.2% 36.1% 42.9% 20.4%
Swihart, Blake bos 2,444 -8 42.6% 15.9% 39% 16.5% 65.6% 61.8% 27.3% 36.6% 21.6%
Ellis, A.J. la 1,616 -8 41% 24.1% 51.2% 10.4% 72.1% 59.9% 19.9% 23.3% 10.3%
Pierzynski, A.J. atl 2,990 -8 44.6% 21.8% 39.5% 14.4% 77.3% 57.6% 37.6% 32.7% 15.7%
Realmuto, J.T. mia 3,293 -8 44.5% 15.9% 31.3% 9.8% 72.2% 54.6% 36.2% 47.6% 17.9%
Suzuki, Kurt min 3,566 -10 45.8% 13% 25.7% 8.1% 75% 59.5% 41.3% 44.1% 23.4%
Hundley, Nick col 2,914 -11 42.4% 21.3% 36.8% 16.8% 71.2% 64.5% 25.1% 30% 15.6%
Ruiz, Carlos phi 2,424 -11 42.9% 14.3% 32.2% 12.6% 72% 49.4% 36.9% 46.1% 11.6%
McCann, James det 3,155 -15 43% 16.9% 42.4% 15.6% 69.3% 60.1% 27.5% 35.9% 16%
Perez, Salvador kc 4,352 -16 44.2% 23.3% 36.1% 13.4% 73.7% 58.4% 32.3% 40.3% 18.2%