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.


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
Narváez, Omar mil 2,980 10 49.2% 14.9% 47.6% 22.6% 65.4% 70.9% 35.1% 48.3% 27.5%
Heim, Jonah tex 1,993 9 51.9% 20% 58.8% 33.6% 65.4% 74% 32.8% 50.6% 26.1%
Murphy, Sean oak 2,874 9 49.8% 19.9% 48.8% 20.6% 63.6% 69.1% 32% 55.3% 27%
Trevino, Jose tex 2,379 8 51.8% 18.3% 57.8% 28% 65.4% 70.1% 37.8% 53.4% 31.1%
Zunino, Mike tb 2,705 7 51.7% 18.7% 56.4% 29% 56.7% 70.2% 26.6% 56.7% 34.3%
Stassi, Max ana 2,370 6 50% 22.2% 41.7% 19.7% 59.5% 75.8% 36% 55.1% 34.6%
Nido, Tomás nym 1,147 5 53.5% 20.3% 49.6% 26.2% 64.9% 79.9% 41.5% 51.4% 37.1%
Posey, Buster sf 2,883 5 49.2% 24.1% 51.9% 24.2% 68.1% 62.3% 33.9% 52.1% 19%
Barnhart, Tucker cin 2,991 5 49.6% 23.1% 45.7% 22.1% 65.1% 68.2% 34.7% 51.3% 28.6%
McGuire, Reese tor 1,730 4 48.9% 29.6% 48.1% 20.2% 66.8% 62.5% 32.8% 50.5% 25.2%
Realmuto, J.T. phi 3,335 4 48.7% 20.5% 45% 12% 69.6% 61.1% 38.9% 51.3% 27.3%
Higashioka, Kyle nyy 1,631 3 50% 17.9% 46.4% 10.6% 67.1% 68.1% 43.8% 52% 33.5%
Piña, Manny mil 1,466 3 49% 15.2% 54.3% 24% 53.6% 71.2% 34.4% 56.3% 26.8%
Garver, Mitch min 1,399 3 50.5% 14.9% 51% 33.8% 67.8% 69.5% 34.7% 52% 25.7%
Jeffers, Ryan min 2,055 2 49.3% 22.2% 42.6% 22.5% 65.7% 67.9% 43.4% 55.4% 23.6%
Stallings, Jacob pit 2,982 2 48.1% 15% 45.3% 21.1% 61.6% 68.6% 28.1% 56.3% 30%
Nola, Austin sd 1,388 2 49.3% 14.6% 45.9% 21.3% 59.6% 68.5% 38% 57.2% 28%
Smith, Will la 3,445 2 49.2% 21.7% 45.5% 18.6% 65.3% 67.4% 28.9% 53.7% 31.4%
Díaz, Elias col 2,628 2 47.1% 30.5% 42.8% 26.7% 73% 53.8% 43.6% 48.3% 14.4%
d'Arnaud, Travis atl 1,953 2 47.6% 18.9% 53.4% 19.6% 55.4% 61.9% 39.7% 55% 28.6%
Raleigh, Cal sea 1,060 2 47.8% 29.5% 55.4% 28.1% 63.3% 61.3% 36.7% 45.2% 13.5%
Vogt, Stephen atl 1,688 2 47.1% 14.7% 50.3% 29.6% 59.2% 72.2% 29.3% 40.7% 27.4%
Casali, Curt sf 1,574 1 49.4% 11.4% 33.8% 10% 66.1% 62.4% 41.2% 58.7% 28.6%
Jansen, Danny tor 1,688 1 48.6% 29.3% 41.9% 11.3% 69.8% 60.8% 34.9% 52.3% 28%
Vázquez, Christian bos 3,898 1 49.1% 23.8% 54.9% 31.3% 66.6% 66.1% 24.8% 48.7% 24.1%
Hedges, Austin cle 2,356 1 47.3% 20% 48.8% 26% 61.1% 66.9% 38.8% 47.8% 23.6%
Plawecki, Kevin bos 1,168 1 47.3% 30.5% 49.6% 18.5% 71.1% 59.8% 22.9% 50.7% 17%
Gallagher, Cam kc 1,032 1 50.2% 12.5% 52.8% 17.6% 68% 64.4% 37.9% 56.3% 32.6%
Maldonado, Martín hou 3,812 1 49% 17.5% 46.3% 21.2% 64.3% 66.5% 37% 53.6% 29.7%
Kelly, Carson ari 2,443 1 48.3% 23.9% 49.4% 23.5% 62.4% 63.8% 35.2% 49.2% 25.7%
Barnes, Austin la 1,361 1 50% 10.5% 33.7% 15.9% 72.2% 63.9% 35.4% 61% 36.2%
Grandal, Yasmani cws 2,105 1 48.3% 16.4% 54.1% 23.8% 64.2% 67.1% 36.1% 49.3% 25.3%
Nuñez, Dom col 2,145 1 47.1% 17.8% 35.3% 14.1% 67.1% 61.3% 44.7% 56.1% 21.7%
Alfaro, Jorge mia 1,577 0 48.5% 29.5% 58.8% 30.8% 64.1% 58.8% 28% 49.6% 20.1%
Knapp, Andrew phi 1,113 0 48.2% 11.1% 46.9% 17.4% 64.8% 66.1% 40.3% 47.5% 26.5%
Gomes, Yan oak 2,618 0 46.9% 20.9% 47.9% 18.7% 70% 59.9% 29.3% 44% 26%
Pérez, Roberto cle 1,116 0 48.5% 21% 55.2% 26.8% 65.6% 70.3% 26.5% 48.5% 25.8%
León, Sandy mia 1,355 0 50.5% 33.3% 60.1% 33.3% 59.8% 68.6% 35% 49% 18.8%
Contreras, Willson chc 3,157 -1 49% 21.4% 56.1% 27.9% 65.9% 64.5% 27.8% 49.8% 19.8%
Varsho, Daulton ari 1,068 -1 47.6% 20.8% 47.8% 25% 67% 62.4% 38.6% 49% 16.5%
Stephenson, Tyler cin 2,004 -1 48.6% 17.6% 45.3% 24.6% 67.2% 65.6% 29.4% 49.2% 29.7%
Murphy, Tom sea 2,279 -1 47.2% 24.2% 46.2% 15% 70.3% 62.2% 32.3% 52% 18.9%
Kirk, Alejandro tor 1,057 -1 47.1% 21.8% 36.9% 17.6% 56.3% 56.5% 41% 61.4% 27.9%
Castro, Jason hou 1,176 -1 48% 15.4% 45.4% 30.3% 64.5% 69.9% 29.7% 53.2% 22.9%
Pérez, Michael pit 1,640 -2 46.1% 14.5% 58.1% 29.9% 63.7% 63% 27.4% 43.4% 14.9%
Contreras, William atl 1,317 -2 45.3% 19% 41.1% 21% 58.3% 56.5% 30.4% 53.1% 27%
Caratini, Victor sd 2,811 -3 46.3% 16.1% 40.9% 15.5% 55.8% 67.5% 33.1% 48.9% 33.4%
Molina, Yadier stl 3,473 -3 48.4% 24.2% 58.6% 30.9% 64% 68.2% 32% 40.6% 25.1%
Rogers, Jake det 1,004 -3 44.4% 14.1% 46.6% 17.2% 58.7% 62.8% 26.2% 52% 22.1%
McCann, James nym 2,601 -3 47.9% 12.4% 48% 17.5% 56.4% 73.8% 23.8% 51.7% 29.9%
Knizner, Andrew stl 1,389 -4 43.8% 22.2% 45.1% 28.8% 57.8% 71.1% 27% 35.3% 22.1%
Haase, Eric det 1,759 -5 44.8% 21.1% 42.8% 16% 63.2% 64.2% 28.9% 42.4% 17.9%
Suzuki, Kurt ana 1,963 -5 45.3% 19% 40.8% 16.5% 64.6% 67.2% 27.5% 45.8% 20.3%
Mejía, Francisco tb 1,704 -5 44.7% 14.6% 47.8% 20% 60% 64.7% 23.7% 46% 23.6%
Wynns, Austin bal 1,304 -5 42.9% 19.3% 50.7% 19.5% 65.6% 56.9% 23.8% 36.8% 14.3%
Sánchez, Gary nyy 2,807 -6 45.9% 22% 44.4% 14.4% 64.3% 70.1% 23.2% 45.9% 29.1%
Collins, Zack cws 1,708 -10 41.4% 21.9% 52.6% 19.4% 71% 48.8% 19.6% 36.1% 13.9%
Severino, Pedro bal 3,132 -10 43.7% 17.3% 47.7% 18.4% 63.9% 59.7% 26.8% 45.7% 19%
Perez, Salvador kc 3,576 -18 44.8% 25.9% 53.9% 28% 65.1% 60.2% 28.5% 36.1% 19.4%