What the expected-points record, the coverage data and the market say he is worth at 49.1 overall.
Drake Maye scored 416.88 fantasy points in 2025. The volume he earned was worth 388.7. That gap of 28.2 points is the single most important thing to understand before drafting him at 49.1 overall.
He finished 19.85 points per game on 2 targets — a 45.6% jump on his 2024 rate with NE. Every part of that is real and none of it is in dispute.
What is worth separating is how much of it he earned. Expected points strip out the finishing and ask a narrower question: given the targets he drew, where they came from on the field, and how far downfield they travelled, what was that usage worth? For 2025 the answer was 388.7 points — 18.5 per game. He scored 28.2 more than that, a 7.2% overshoot.
4 of his 17 games produced 25 or more points: Week 2 against MIA (26.3), Week 6 against NO (27.24), Week 8 against CLE (26.28), Week 17 against NYJ (32.44). Strip them and the remaining 13 games average 18.4.
Spike weeks win fantasy games and a player who produces them is more valuable than one who never does — he is a ceiling play with real weeks off. He did not have a single game under 10 points.
The three largest overshoots — Week 17 (+20.2), Week 4 (+12.9), Week 8 (+9.7) — are the same games. The spikes were not extra volume. They were finishing.
Not one of his 2 seasons is flagged as running hot. 1 came in below what the usage justified: 2024 (-8.3%). Across both seasons he has scored 12.1 points more than his usage was worth.
The reflexive read is regression. Finishing above expectation is unstable, and a player who does it repeatedly is usually one whose luck has not run out yet.
But an expected-points model has a specific blind spot, and it is worth naming: it converts usage at league-average rates. A target twenty yards downfield is worth what the average receiver does with a target twenty yards downfield. If a player is reliably better than average at winning a particular kind of target, he will beat the model every single year, and calling that luck is just mislabelling a skill.
So the question is not whether he beat the number. It is whether there is a mechanism.
Across 76 graded prop lines, he has gone over 59.2% of the time. On passing yards specifically the number is 73.1% across 26 lines, beating the posted number by an average of 8.1%.
A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 73% of the time on the same market is a harder thing to explain away.
Touchdowns are the control. His anytime-TD market implied a 23.1% rate and he converted at 18.5% — a gap of -4.6 points, which is worth noting.
Across 1,151 player-seasons we swept every stat for whether it predicts NEXT year's points, and kept only the ones that replicated in all five. f_teamImplLevel (r 0.146) carry.
So the figures worth weighing for him: a 3% target share, 1.1% of the air yards, a WOPR of 0.05, on the field for 95.8% of snaps. He finished 1 at the position — QB1.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 106 games, NE has come in -0.07 points against its own implied total, clearing it in 50% of weeks.
That is close to neutral — the offence performs about where the market expects, so there is no environment bonus or penalty to apply to him either way.
One related finding worth carrying: across 1,280 cases we measured what happens after a team's implied total slides, and the correlation is -0.37 — negative, meaning the market over-corrects. A falling team total is more often a buying window than a warning.
Our board has him at 359 points, 21.4 per game across 16.8 expected games — 0 catches, 0 yards, 0 touchdowns. That is QB1, 57 overall, and 38 points of value over a replacement starter.
It is a step down from 2025, and the reason is volume rather than efficiency. The projection assumes he keeps doing what he does on slightly fewer looks.
finished as the #2 scoring QB last season, aided significantly by a historically easy schedule that kept the offense in short-field, positive-script spots constantly. Adding a true #1 WR (AJ Brown) and a second real weapon (Romeo Doubs) should raise the talent level around him even as the easy schedule disappears. Rushing efficiency dropped off relative to his rookie-year per-carry numbers, but he's expected to scramble more as games get more competitive against a tougher schedule.
The books do not agree on him. Drake Maye is a consensus pick — every book within 4.3 picks of 49. That 4.3-pick gap between Yahoo and Underdog is the practical thing to act on: in a Underdog-priced room he is available later than his consensus number suggests.
He goes at 49.1 overall on consensus, with a 4.3-pick spread between cheapest and priciest. He is latest on underdog and earliest on yahoo: sleeper 51.2, espn 47.8, yahoo 46.9, underdog 66.9, cbs 50.6.
At 49.1 you are paying a WR2 price for a player whose median outcome is a WR2 season with five weeks that win you the game outright and four that lose it. The bust rate of 20% is real and so is the 34% boom rate.
The call: fair value, not a discount. The reason to take him is the ceiling and the betting record. The reason to pass is that you are buying a profile that has beaten its expected output four years running and only needs to stop once.
Ask the Coach about Drake Maye Every number in this piece, plus your league's roster and scoring, in one answer.Expected points are computed from realised usage — targets, air yards and field position — against league-average conversion, not from projections. Prop records cover 76 graded lines. Projections are anchored to consensus with our engine applied as a capped tilt; the raw engine figure is stated where it differs. Nothing here is betting advice.