What is Catcher Framing? Definition, Formula, and Example
Catcher framing is the skill of converting borderline pitches into called strikes through pitch receiving, measured by Statcast as the difference between actual and expected called-strike rate in the shadow zone.
What is catcher framing?
Catcher framing is the skill of receiving pitches in a way that convinces the home-plate umpire to call borderline pitches as strikes. A great framer turns balls into strikes on the edges of the zone; a poor framer does the opposite. It is one of the most valuable and most invisible defensive skills in baseball, and since 2015 it has been measured publicly by Statcast, Baseball Prospectus, and FanGraphs.
How catcher framing is calculated
Statcast's catcher framing metric, now folded into Fielding Run Value, works in three steps:
1. Define the shadow zone. Statcast partitions pitches into zones. The shadow zone consists of pitches within roughly 0.83 feet of the edge of the strike zone—the pitches where umpire calls are genuinely uncertain.
2. Compute expected strike probability. Using pitch location, count, batter and pitcher handedness, and home-plate umpire tendencies, Statcast assigns each pitch an expected called-strike rate.
3. Credit or debit the catcher. For every taken pitch in the shadow zone, the difference between actual call and expected call is attributed to the catcher. Extra strikes are converted to run value using the run expectancy of strike versus ball in the current count.
A called strike is worth roughly 0.12 to 0.14 runs more than a called ball on average. So adding 100 extra strikes across a season produces 12 to 14 runs of value—about one and a half wins.
Worked example
In 2024, Patrick Bailey of the San Francisco Giants led MLB in catcher framing with +17 Framing Runs, converting 52.9% of shadow-zone pitches into called strikes against a league-average rate near 47%. Over roughly 900 shadow-zone chances, that gap stacked up to dozens of extra strikes and multiple wins of value.
On the other end, the worst framers cost their teams 10+ runs a season. Salvador Perez, Martín Maldonado, and Elias Díaz have frequently sat near the bottom of the leaderboard despite strong reputations in other areas of catching.
Why catcher framing matters
Framing can swing a catcher's defensive value by 30 runs a season—from –10 to +20 between the worst and best in the league. That is a three-win gap from a single skill, larger than almost any other defensive metric. It's why Jose Trevino, Austin Hedges, and Tyler Flowers all held MLB jobs for years despite below-average bats.
Teams use framing data to shape catching depth charts, design receiving drills, and even choose pitcher-catcher pairings on specific nights. The Rays, Dodgers, and Giants have been particularly aggressive at prioritizing elite framers across the roster.
Limitations and common misconceptions
- Framing does not include blocking or throwing. A catcher can be the best framer in the league and still be a defensive liability if he can't stop balls in the dirt or control the running game. Statcast's full Fielding Run Value bundles framing, blocking, throwing, and caught stealing above average into one number.
- The automated ball-strike system will reduce its value. If MLB adopts ABS or an ABS challenge system, framing value shrinks. Minor-league trials from 2022 to 2025 already compressed the spread between top and bottom framers.
- It's partly pitcher-dependent. Pitchers with strong command give their catchers more borderline pitches to work with, which inflates framing numbers for catchers paired with elite control arms.
Related terms
In Legends Deck
Catcher framing is baked into the defensive rating of every catcher card in Legends Deck. An elite framer like Patrick Bailey's 2024 card applies a small called-strike bonus on every simulated pitch in the shadow zone, tilting counts in the pitcher's favor. Back-of-the-card catchers carry the opposite modifier. When you pair a framing-plus catcher with a command-heavy pitcher, the two effects stack in-game exactly as they do in real MLB data—cheap strikes on the black add up across a nine-inning simulation.