What the expected-points record, the coverage data and the market say he is worth at 84.6 overall.
Courtland Sutton scored 239.7 fantasy points in 2025. The volume he earned was worth 235.7. That gap of 4 points is the single most important thing to understand before drafting him at 84.6 overall.
Rather than reading a season average, it is worth finding the point the season actually turned. Our shift detector flags in-season changes large enough to clear a statistical threshold, then asks what moved around them.
The largest single move was Week 14: air-yards share went up from 30.2 to 44.7, a 48.4% change, at 3.12 standard deviations. The cause was structural — targets were redistributed inside the offence. He also missed Week 12.
Year over year the engine classifies 2025 as a breakout the box score hid. That is the label to carry into the projection, because it separates a player who lost snaps from one who kept them and converted worse.
He finished 12.62 points per game on 138 targets — down 15.1% from his 2024 rate with DEN. 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 235.7 points — 12.4 per game. He scored 4 more than that, a 1.7% overshoot.
The expected line underneath the season was 85.8 catches for 1086 yards and 6.9 touchdowns, and he cleared it.
Not one of his 17 games cleared 25 points. His best was 24.3 in Week 15. He wins with volume rather than with weeks that swing a matchup.
A steady floor has its own value in a lineup that needs one. 6 games came in under 10 points, including Week 2 against IND (1.6) and Week 6 against NYJ (2.7).
The three largest overshoots — Week 3 (+10.1), Week 4 (+8.9), Week 15 (+7.2) — are the same games. The spikes were not extra volume. They were finishing.
1 of his 5 seasons ran hot: 2023 (+22.9%). 2 came in below what the usage justified: 2021 (-11.5%), 2022 (-14.4%). Across all 5 he has scored 9.3 points fewer 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 483 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 57.3% for 8.47 yards per target and 0.352 expected points added per target. Against zone: 62%, 7.6 yards, 0.204 EPA.
That is a gap of 0.148 EPA per target on a sample of 199 man targets against 284 zone. The catch rate goes the other way — he catches more against zone — which is exactly what you would expect from a receiver whose value is in winning contested downfield throws rather than in finding soft spots underneath.
The shell detail sharpens it. Cover 1, single-high man is the look he has faced most: 161 targets, 8.68 yards per target, 0.346 EPA. His best is Cover 6 at 0.59 on 22 targets.
The weakness is specific. Against Cover 4 quarters he has caught 45.2% for 4.05 yards a target and -0.375 EPA across 42 looks — a gap of 1 expected points a target between his best coverage and his worst.
This does not prove the overshoot repeats. It does mean the pattern has a stated cause rather than being a coin that keeps landing heads.
Across 62 graded prop lines, he has gone over 61.3% of the time. On receiving yards specifically the number is 67.7% across 31 lines, beating the posted number by an average of 21.1%.
A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 68% of the time on the same market is a harder thing to explain away.
Touchdowns are the control. His anytime-TD market implied a 36.4% rate and he converted at 45.2% — a gap of 8.8 points, which is worth noting.
Denver returns 4 of 6 continuity slots — qb1, rb1, te1, hc — with Bo Nix at quarterback, Sean Payton as head coach and Davis Webb calling it. The offence projects to 34.96 pass attempts a game at medium confidence.
The pie is stable. His slice is the question. Our share model has him at 19.7% against the 22.7% he ran, with a range of 17.5% to 21.1%.
That number is built from 25 comparable players — same age band, same prior share, same team, same coordinator — not from a depth chart. The closest three went DK Metcalf 24.4% to 20.8%, Amari Cooper 23.4% to 18.7%, Tyler Lockett 22.7% to 13.3%. Two held, one fell hard.
Across 4,488 player-seasons we swept every stat for whether it predicts NEXT year's points, and kept only the ones that replicated in all five. target share (r 0.247), WOPR (r 0.218), air-yards share (r 0.142) carry. receiving EPA per game (r -0.127) and yards per target (r -0.114) and week-to-week volatility (r -0.075) run negative — a player who was hyper-efficient on low volume tends to come back down, so a gaudy per-touch number is a warning rather than a selling point.
So the figures worth weighing for him: a 21% target share, 33.9% of the air yards, a WOPR of 0.55, on the field for 85.4% of snaps. He averaged 2.78 yards of separation against 6.5 yards of cushion, and gained 0.12 yards after the catch above expectation. He finished 10 at the position — WR1.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 104 games, DEN has come in -0.51 points against its own implied total, clearing it in 43% 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 158.1 points, 9.6 per game across 16.4 expected games — 55.1 catches, 718 yards, 5.2 touchdowns. That is WR5, 99 overall, and 1 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.
a legitimately good, still-productive NFL receiver, but specifically discounted for a season-long redraft build because as long as Waddle stays healthy there's no real path to a weekly-startable target share. Framed as a fine best-ball pickup (stable, low-variance, late), not someone worth planning to actually start in redraft.
The books do not agree on him. . That 21.5-pick gap between CBS and Yahoo is the practical thing to act on: in a Yahoo-priced room he is available later than his consensus number suggests.
He goes at 84.6 overall on consensus, and the books are far apart — 21.5 picks between cheapest and priciest, which is a real value window. He is latest on yahoo and earliest on cbs: sleeper 77.9, espn 86, yahoo 98, underdog 84.4, cbs 76.5.
At 84.6 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 19% is real and so is the 57% 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 Courtland Sutton 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 62 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.