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 967 5 53.6% 30.3% 53.1% 17.2% 65.9% 68.7% 44.7% 54.6% 40.3%
Molina, Yadier stl 1,279 3 50.4% 14.3% 43.6% 11.4% 65.4% 73.9% 38.1% 61.1% 29.9%
Murphy, Sean oak 1,355 3 49.5% 21.3% 42.9% 10.1% 67.9% 67.3% 26.6% 56.7% 24.4%
Realmuto, J.T. phi 978 3 51.9% 24.2% 36.6% 17.6% 76.4% 67% 48.2% 50.8% 28.4%
Vázquez, Christian bos 1,238 3 50.9% 22.9% 51.6% 32.3% 68.8% 67.5% 24.6% 53.3% 25.4%
Grandal, Yasmani cws 1,071 3 51.1% 27.4% 51.1% 18.4% 63.5% 68.4% 39.5% 57.6% 30.1%
Pérez, Roberto cle 861 2 51.2% 6.3% 50% 19.2% 67.1% 72.1% 31.1% 53.9% 32.1%
Stallings, Jacob pit 1,225 2 48.8% 13.3% 36.8% 23.7% 60.1% 66.2% 29.9% 60.7% 33.3%
McCann, James cws 812 2 51.6% 5% 35.9% 22.5% 63.1% 75.5% 38.1% 62% 31.3%
Bemboom, Anthony ana 500 2 48.4% 30% 36.7% 12.5% 64.9% 67.1% 33.3% 50% 30.8%
Caratini, Victor chc 610 2 53% 16.2% 59.5% 33.3% 63.1% 66.2% 48.5% 57.1% 24.2%
Barnes, Austin la 935 2 52.6% 20.8% 45.2% 16.7% 57.5% 73.8% 38% 64% 42.9%
Contreras, Willson chc 1,079 2 51.3% 21.7% 50.5% 31.6% 65.5% 68.4% 39.2% 53.1% 28.1%
Nottingham, Jacob mil 500 1 49.8% 15.2% 42.2% 26.3% 67.3% 67.9% 35.3% 56.4% 26.3%
Flowers, Tyler atl 598 1 49.2% 22.4% 51.6% 34.6% 63% 68.1% 33.3% 54.9% 21.7%
Higashioka, Kyle nyy 456 1 50.4% 17.1% 32.1% 18.8% 81.3% 71.7% 30% 55.6% 31.4%
Tromp, Chadwick sf 538 1 50.2% 19% 37.1% 17.4% 69.8% 62.8% 38.6% 56.4% 37.2%
Jeffers, Ryan min 582 1 51.9% 21.9% 35.7% 9.5% 72% 62.5% 41.2% 58.2% 38.7%
Mathis, Jeff tex 688 1 49.6% 22.2% 54.5% 21.7% 62.2% 68.3% 33.3% 52.6% 25.7%
Kelly, Carson ari 1,061 1 49.6% 20.7% 41.4% 23.3% 71.4% 64.5% 40% 52.7% 22.2%
Stassi, Max ana 782 1 50.5% 15.6% 51.2% 27% 59.2% 73% 31.4% 58.2% 35.1%
d'Arnaud, Travis atl 1,410 1 49.2% 18.2% 52.8% 30.6% 66.6% 65.4% 29.2% 49% 21%
Garneau, Dustin hou 427 1 48% 25% 41.5% 30.4% 78.6% 63.5% 44.8% 48.6% 10.8%
Casali, Curt cin 721 1 50.3% 15.3% 43.6% 25.6% 65% 69.2% 37.5% 60.9% 33%
Nola, Austin sd 1,440 1 51.7% 13.9% 39.3% 23.8% 59.7% 67.5% 34.6% 68% 40.4%
Barnhart, Tucker cin 993 1 50.4% 18.6% 43.6% 18.4% 69.9% 67.4% 31.4% 62.8% 26.6%
Vogt, Stephen ari 600 1 52% 38.7% 37.5% 26.7% 57.1% 68.8% 30.8% 61.4% 35.9%
Heineman, Tyler sf 408 0 50% 7.4% 41% 30.4% 71.2% 63.8% 46.7% 57.3% 18.8%
Bart, Joey sf 841 0 49.3% 24% 38% 27.7% 62.5% 69.1% 40.4% 51.6% 37.7%
Garver, Mitch min 558 0 46.4% 14% 46.8% 18.5% 55% 58.4% 38.5% 54% 40.5%
Castro, Jason sd 717 0 50.3% 30% 50.5% 14.3% 56.4% 68.6% 47.6% 55.2% 30.4%
Ramos, Wilson nym 1,114 0 44.8% 25% 58.6% 27.4% 66.2% 63.8% 22.4% 29.6% 15.7%
Trevino, Jose tex 568 0 49.1% 19% 48.8% 28% 68.8% 58.9% 51.9% 53.3% 22%
León, Sandy cle 651 0 49.9% 15.4% 53% 27.1% 59.5% 67.2% 47.2% 60.7% 24.7%
Cervelli, Francisco mia 439 0 48.1% 23.8% 42.6% 6.3% 70.1% 67.4% 27.6% 46.6% 15.4%
Butera, Drew col 439 0 46.9% 20.6% 40.5% 18.8% 69.7% 53.6% 44% 58.8% 17.2%
Murphy, John Ryan pit 532 0 50.6% 12.2% 39% 16.7% 67.3% 68.1% 25% 62.2% 40.4%
Díaz, Elias col 451 0 47.2% 23.5% 31.9% 21.4% 77.5% 56% 36.6% 44.2% 20.9%
Avila, Alex min 454 0 46.9% 23.3% 56.3% 21.7% 60.4% 63% 29.3% 51.5% 17.4%
Perez, Salvador kc 996 0 48.9% 17.9% 45.3% 14.5% 76.2% 71.8% 36.8% 43.5% 26.4%
Hedges, Austin cle 736 0 49.5% 21.2% 45.9% 25% 60% 68.2% 29.7% 54.8% 32.9%
Odom, Joseph sea 458 -1 43.4% 14.3% 53.5% 27.8% 54.3% 55.6% 15.6% 48.5% 30.4%
Jansen, Danny tor 1,280 -1 46.3% 18.2% 37.9% 20% 64.9% 68% 26.9% 45.9% 32.3%
Wolters, Tony col 1,000 -1 47.4% 21.6% 46.8% 22.9% 64.2% 66% 40.5% 47.6% 15.7%
Greiner, Grayson det 488 -1 46.3% 34.2% 68.3% 24% 54.3% 61% 25% 41.7% 8.3%
Romine, Austin det 1,068 -1 45.9% 11.7% 32.4% 20.5% 61.3% 67.4% 31.6% 47.2% 30.9%
Gallagher, Cam kc 540 -1 49.3% 15.2% 41.4% 10% 68.3% 57.6% 40% 67.5% 22.4%
Chirinos, Robinson nym 780 -1 46.7% 22.6% 41.1% 20.8% 63.6% 70.4% 36.6% 39.4% 28.9%
Wallach, Chad mia 518 -1 45.9% 17.9% 43.5% 15.8% 65.5% 60% 28.1% 55.5% 24.6%
Knapp, Andrew phi 603 -1 44.9% 18.4% 42.4% 18.8% 60.2% 52.5% 41.2% 51.3% 25%
Maldonado, Martín hou 1,828 -2 47.8% 19.4% 47% 23.5% 64.2% 68.2% 25% 54.3% 22%
Gomes, Yan was 886 -2 44.8% 20.3% 37.4% 16.2% 67.3% 61.2% 38.4% 45.7% 16.2%
Sánchez, Gary nyy 1,153 -2 47.6% 13% 32.3% 12.8% 64.3% 68.6% 24.7% 52.4% 42.7%
Pérez, Michael tb 729 -2 46.4% 18.6% 64.2% 24.3% 63.3% 57.1% 20% 45.9% 18.7%
Torrens, Luis sea 610 -2 45.9% 20.5% 46.9% 19.4% 63.8% 56.2% 37.1% 49.6% 19%
Sisco, Chance bal 695 -3 46% 18.8% 31.6% 14.3% 68.3% 57.4% 32.7% 48.9% 21.2%
Plawecki, Kevin bos 594 -3 43.3% 18.2% 49.4% 16.1% 62.6% 59% 31.6% 41.6% 19.7%
Alfaro, Jorge mia 744 -3 41.7% 14.7% 47.8% 18.6% 58.6% 56.2% 20.7% 45.1% 16.9%
Suzuki, Kurt was 879 -4 43.8% 22.6% 31.9% 12.1% 64.4% 64.6% 35.6% 43.5% 17.3%
Severino, Pedro bal 994 -4 45.8% 24.6% 38.8% 16.3% 64.6% 64.6% 33.8% 45.2% 28.5%
Smith, Will la 1,131 -5 43.9% 13.3% 50.4% 23.3% 62.3% 63% 33% 46.2% 22.5%
Zunino, Mike tb 1,276 -5 45.4% 17.6% 49.2% 26.4% 60.2% 65.6% 22.2% 45.1% 19.7%