2024 season · Quarterbacks at this week's dropback floor, 40 qualifiers

QB Composite Rating Leaders

QB Composite Rating — 2024 NFL leaders, updated Sep 3, 2026. Lamar Jackson (BAL) led the league in QB composite rating at +1.675, ahead of 39 other qualifying players. Computed from nflverse play-by-play, NFL Next Gen Stats via nflverse and FTN Data via nflverse charting, regular season only.

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, 2024 NFL season
#PlayerDBScoreEPA/DBCPOESucc%QB-fault Sk%Listen
1Lamar JacksonBAL540+1.6750.41-0.253.1%1.1%
2Jared GoffDET582+1.6700.33+5.154.3%2.2%
3Josh AllenBUF540+1.4830.33+0.850.0%1.1%
4Joe BurrowCIN723+1.3350.25+4.551.7%2.5%
5Tua TagovailoaMIA428+1.1970.28+1.753.5%2.1%
6Baker MayfieldTB654+1.1190.26+2.252.1%2.1%
7Jalen HurtsPHI438+1.0960.26+6.348.2%3.0%
8Brock PurdySF526+0.9740.25+3.050.6%2.3%
9Jayden DanielsWAS600+0.9000.24+0.748.7%3.2%
10Patrick MahomesKC654+0.6600.20-1.250.6%2.1%
11Justin HerbertLAC576+0.4110.18+2.445.7%3.5%
12Kyler MurrayARI611+0.3640.15+2.249.9%2.1%
13Sam DarnoldMIN621+0.3180.15+2.849.4%3.2%
14Drake MayeNE419+0.3020.17+3.048.2%0.7%
15Derek CarrNO298+0.2780.16+3.243.6%0.7%
16Jordan LoveGB454+0.2570.17-1.247.8%0.9%
17Kirk CousinsATL481+0.1170.12+3.448.0%1.9%
18Geno SmithSEA653-0.0830.10+3.947.2%3.7%
19Matthew StaffordLAR549-0.1180.09-0.648.6%3.6%
20Joe FlaccoIND270-0.1490.09+1.645.9%2.6%
21Russell WilsonPIT388-0.1560.10+1.142.3%2.3%
22Bo NixDEN641-0.1700.10-2.643.7%1.3%
23Mason RudolphTEN250-0.2220.06+1.648.4%2.0%
24Bryce YoungCAR451-0.2530.07+2.140.6%1.1%
25Aidan O'ConnellLV257-0.2850.07+0.844.8%0.8%
26Trevor LawrenceJAX318-0.3100.09-3.343.7%1.6%
27Daniel JonesNYG386-0.4290.04-1.342.5%1.3%
28Jameis WinstonCLE334-0.4430.03-2.342.5%0.9%
29Aaron RodgersNYJ643-0.4620.08-4.743.4%2.0%
30Mac JonesJAX293-0.4690.05-1.542.0%1.0%
31Drew LockNYG203-0.5220.02-2.943.4%0.0%
32C.J. StroudHOU620-0.5320.07+0.242.3%4.0%
33Dak PrescottDAL313-0.625-0.01+1.941.9%3.8%
34Caleb WilliamsCHI686-0.8140.04-1.140.4%4.2%
35Deshaun WatsonCLE271-0.8370.01-2.634.7%0.4%
36Gardner MinshewLV344-0.986-0.04+1.645.1%3.8%
37Cooper RushDAL325-1.297-0.05-5.640.6%2.5%
38Anthony RichardsonIND298-1.335-0.05-11.236.6%2.0%
39Will LevisTEN364-1.673-0.08-1.636.8%6.6%
40Spencer RattlerNO264-1.986-0.19-8.637.9%3.4%

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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