Win rate charts whether a lineman wins his individual matchup within a time threshold on each snap - a process measure that complements the after-the-fact outcome of sacks and pressures.
By The NFL Analytics Editorial Team · Published June 14, 2026
The line of scrimmage is the hardest place in football to measure, because almost nothing that happens there shows up in the box score. A guard can pancake his man on every snap and never appear in a single stat. A tackle can get beaten cleanly and, if the quarterback throws the ball a half-second sooner, escape any blame. Sacks and pressures capture the worst outcomes after the fact, but they say little about the moment-to-moment battles that decide whether a play has a chance. Block win rates were built to measure exactly those battles: on each snap, did the lineman win his individual matchup within a short time window?
The two headline versions are pass-block win rate and run-block win rate. Both reduce the messy trench fight to a per-snap yes/no verdict for the blocker, then express the share of snaps he won. The appeal is the same as success rate's appeal on offense: a clean binary, computed over hundreds of snaps, turns a chaotic phenomenon into a stable rate that you can compare across players and teams.
The defining feature of these metrics is the time threshold. A block is not graded on whether it lasted forever - it is graded on whether the blocker held up (or created movement) for a set amount of time after the snap.
The logic of the time window is that protection is only useful for as long as the quarterback needs it. A tackle who holds his block for two seconds and then loses has still done his job on a quick-game throw; a tackle who loses in under a second has failed even on a fast play. Setting a fixed threshold turns "did he hold up long enough?" into a consistent, repeatable verdict.
Win rate = Blocks won (within the time threshold) ÷ Total blocking snaps
Aggregating those snap-level verdicts gives an individual win rate for a single lineman and a team win rate for the unit. The team versions are the most-cited numbers, because they let you compare entire offensive lines (and, on the other side, pass-rush win rate for defenses) on a single scale.
Crucially, this is a charted statistic. Identifying who blocked whom, when contact was won or lost, and when the threshold was crossed requires either careful film review or player-tracking data that follows every blocker and rusher. It is not something you can derive from a standard play-by-play feed.
Win rate is most valuable precisely because it measures something the outcome stats cannot. To see why, it helps to line the three up:
Rare, high-variance, and the joint product of the whole protection plus the quarterback's clock. A single sack can be charged to a blown block, a coverage sack, or a quarterback who held the ball too long. Useful as an outcome, terrible as a per-player skill measure.
More frequent than sacks and far more stable. Pressure rate counts sacks, hits, and hurries per dropback, which fixes the rarity problem. But pressure is still an outcome that depends on the threshold of the throw and the play design.
A per-snap process measure: did this blocker win his rep within the window, independent of whether a pressure or sack ultimately resulted? It isolates the blocker's matchup from the quarterback's decisions and the rest of the protection.
The key distinction is process versus outcome. A quarterback with a lightning-quick release can mask a leaky line: the ball is gone before the losing blocks matter, so the line's pressure and sack numbers look fine even though individual reps were lost. Conversely, a quarterback who holds the ball forever can make a good line look bad, because even won blocks eventually break down if you wait long enough. Win rate, judged at a fixed time threshold, strips out the quarterback's clock and asks only whether the blocker did his job in the window he was responsible for.
That is why analysts read them together. If a line has strong pass-block win rates but a high pressure rate, suspect the quarterback is holding the ball too long. If a line has weak win rates but a low pressure rate, suspect a quick-game offense or a mobile quarterback is bailing it out - a fragile situation that can collapse against a defense that takes the quick game away. The gap between process (win rate) and outcome (pressure, sacks) is itself a finding.
A clearly hypothetical example shows how two lines can post the same outcome while doing very different work:
Hypothetical figures for illustration only - not any real team's stats.
Win rate is a genuine advance, but it is not a complete grade of the trenches, and it has real blind spots:
Pass-block and run-block win rates chart, snap by snap, whether a blocker won his individual matchup within a fixed time threshold, then report the share of snaps won for a player or a whole unit. By measuring the process rather than the after-the-fact outcome, win rate isolates the blocker's job from the quarterback's release clock and the rest of the protection, which is exactly what sacks and pressures cannot do. It complements those outcome stats: when win rate and pressure rate disagree, the gap reveals whether a quick release is masking lost reps or a slow one is sinking won ones. But it is a charted, binary, one-on-one measure with provider-specific thresholds, blind to magnitude and to the coordinated help that defines real line play - so read it alongside pressure rate, sacks, and rushing efficiency, never as a standalone verdict on the trenches.
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