2023 season · Quarterbacks at this week's dropback floor, 39 qualifiers

QB Composite Rating Leaders

QB Composite Rating — 2023 NFL leaders, updated Sep 3, 2026. Brock Purdy (SF) led the league in QB composite rating at +1.920, ahead of 38 other qualifying players. Computed from nflverse play-by-play, NFL Next Gen Stats via nflverse and FTN Data via nflverse charting, regular season only. Through the 2023 season.

Six numbers, one score. Expected points added per game and per dropback carry most of the weight, because moving an offense is the job; completion percentage over expected is the accuracy check that does not care how far the throws travelled; success rate asks how often the play simply worked; late-and-close play and QB-fault sack rate get five percent each, small on purpose because both are small samples. Every input is measured against the same population of quarterbacks, so a score is a distance from an average qualified starter rather than a grade out of a hundred — plus one means a standard deviation better than that man, and the middle of this board is genuinely crowded. It is a way of holding six things at once, not a verdict, and the raw columns are all here to be read against each other.

QB Composite Rating, 2023 NFL season
#PlayerDBScoreEPA/DBCPOESucc%QB-fault Sk%Listen
1Brock PurdySF486+1.9200.36+2.554.7%2.9%
2Dak PrescottDAL658+1.5610.25+4.750.6%3.8%
3Josh AllenBUF652+1.2590.20+1.950.8%1.7%
4C.J. StroudHOU557+0.9650.22+0.946.7%1.4%
5Jared GoffDET643+0.8810.17+1.149.1%1.4%
6Tua TagovailoaMIA605+0.8380.21+1.549.8%2.1%
7Jalen HurtsPHI623+0.7840.14+4.146.4%2.6%
8Jordan LoveGB633+0.6620.18-1.446.3%1.7%
9Jake BrowningCIN284+0.6620.18+3.347.9%4.2%
10Lamar JacksonBAL560+0.6260.16+1.748.9%3.9%
11Kirk CousinsMIN329+0.5590.13+4.645.6%2.4%
12Derek CarrNO590+0.5460.12+4.045.8%1.5%
13Geno SmithSEA548+0.5330.14+2.248.4%2.2%
14Baker MayfieldTB639+0.4330.14+0.244.4%2.2%
15Patrick MahomesKC672+0.4280.14-1.748.4%1.3%
16Justin HerbertLAC517+0.3300.12+0.546.0%1.7%
17Matthew StaffordLAR565+0.2790.14-1.345.8%2.1%
18Joe BurrowCIN402+0.1760.09+1.347.3%2.0%
19Russell WilsonDEN527+0.1180.09+1.343.3%1.9%
20Justin FieldsCHI459+0.0840.12+0.439.9%1.3%
21Ryan TannehillTEN268+0.0830.11+0.440.3%0.0%
22Tyrod TaylorNYG218+0.0450.11+1.943.6%0.9%
23Trevor LawrenceJAX643-0.0100.09-0.546.7%1.2%
24Gardner MinshewIND548-0.0890.10-1.642.3%1.3%
25Kyler MurrayARI305-0.2830.06-2.942.3%0.7%
26Will LevisTEN291-0.3280.11-3.240.9%1.7%
27Joe FlaccoCLE213-0.3670.01-1.042.7%1.4%
28Deshaun WatsonCLE204-0.6380.00-2.840.7%3.4%
29Aidan O'ConnellLV367-0.6390.03-2.341.7%2.2%
30Desmond RidderATL439-0.7000.01-1.446.7%3.0%
31Joshua DobbsARI484-0.852-0.01-0.440.7%1.6%
32Kenny PickettPIT361-0.859-0.06+0.340.7%2.8%
33Sam HowellWAS711-0.929-0.04+0.241.5%3.5%
34Tommy DeVitoNYG237-1.003-0.03-3.633.3%2.5%
35Daniel JonesNYG211-1.093-0.10+0.539.3%4.7%
36Mac JonesNE380-1.168-0.10-0.642.6%1.1%
37Bailey ZappeNE246-1.567-0.17-2.233.7%2.0%
38Bryce YoungCAR620-1.595-0.10-1.637.1%2.9%
39Zach WilsonNYJ438-1.656-0.12-1.537.4%3.9%

The score is a Muffed model: the weights are ours, and three of the six inputs are expected points measured three different ways, so they move together. Read the raw columns beside it rather than the score alone.

New to this stat? What QB composite rating means.

Other seasons

How this board is built

The six inputs and what they are worth

Expected points added per game, counting designed quarterback runs as well as dropbacks, is 45 percent. Expected points added per dropback is 20. Completion percentage over expected, taken from Next Gen Stats rather than recomputed, is 15. Success rate — the share of dropbacks that gained enough to stay on schedule — is 10. Expected points per dropback in the second half within one score is 5, and QB-fault sack rate is 5 and enters negative, because taking the sack yourself is the failure. Each input is turned into a z-score across the qualifying population before the weights are applied, so the total is in standard deviations rather than in any of the six original units.

Why a small sample scores closer to average

Before the z-scores are taken, every input is pulled toward the league mean by its own sample size: a quarterback's figure and the league's are averaged, weighted by how many snaps he has and by a constant that says how much evidence it takes to trust a rate. That constant is 150 dropbacks for the per-dropback, success, accuracy and sack-rate inputs, 60 dropbacks for the late-and-close one, and 4 games for the per-game one. A passer with 600 dropbacks barely moves; one who has just cleared the floor moves most of the way. Against a version with no such pull it changes a ranking by up to three places, and it is why a quarterback with no late-and-close snaps at all sits at the league average there rather than at zero.

Sacks, and who is charged for them

FTN's charters judge every sack for whether the quarterback caused it — holding the ball, missing the pressure, running into it — or whether the protection simply broke. On a sack charged to the protection, the expected points lost are scored at zero for the quarterback in both expected-points inputs; the snap still counts as a dropback, because he still used it. A QB-fault sack keeps its whole cost. A sack with no charting row keeps its raw cost, the conservative direction, and the count of those appears on the page as part of the qualifying line.

What this does not recompute

The 2025 ranking published in Muffed's quarterback article uses version 1.1 of this model, whose pressure inputs come from participation charting that nflverse delivers only after a season ends. That ranking stands as published and is not recomputed here, which is why 2025 is absent from the seasons above. This version reads only feeds that move during the season, so it can be wrong about a quarterback in Week 4 and right about him in Week 12 — that is the point of it.

Choosing between two of these players?

Both men's 2025 production side by side, and which of them rests on inputs that historically repeat.

All comparisons →

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