What the expected-points record, the coverage data and the market say he is worth at 11.5 overall.
CeeDee Lamb scored 200.9 fantasy points in 2025. The volume he earned was worth 199.8. That gap of 1.1 points is the single most important thing to understand before drafting him at 11.5 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 16: receiving yards went down from 97.6 to 33.7, a 65.5% change, at 3.94 standard deviations. The cause was structural — the offence collapsed. He also missed Weeks 3, 4, 5, 6, 10.
Year over year the engine classifies 2025 as a stable year. 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 15.45 points per game on 117 targets — down 12% from his 2024 rate with DAL. 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 199.8 points — 15.4 per game. He scored 1.1 more than that, a 0.6% overshoot.
The expected line underneath the season was 72.7 catches for 921 yards and 5.8 touchdowns, and he cleared it.
Not one of his 13 games cleared 25 points. His best was 24.2 in Week 13. 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. 2 games came in under 10 points, including Week 17 against WAS (9.6) and Week 18 against NYG (1.4).
The three largest overshoots — Week 13 (+8.8), Week 7 (+8.3), Week 11 (+5.6) — are the same games. The spikes were not extra volume. They were finishing.
1 of his 6 seasons ran hot: 2022 (+13.9%). Across all 6 he has scored 159.8 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 645 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 64.8% for 9.58 yards per target and 0.401 expected points added per target. Against zone: 71.4%, 8.12 yards, 0.274 EPA.
That is a gap of 0.127 EPA per target on a sample of 301 man targets against 343 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: 226 targets, 9.68 yards per target, 0.452 EPA. That is his best number against his largest sample, which is the opposite of a fluke.
The weakness is specific. Against Cover 2 he has caught 78.6% for 6.79 yards a target and 0.108 EPA across 84 looks — a gap of 0.3 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 65 graded prop lines, he has gone over 52.3% of the time. On rushing yards specifically the number is 25.0% across 12 lines, missing the posted number by an average of 20.8%.
That cuts against him. A book that has him beaten 75% of the time on his most-graded market is not a market being slow — it is a market that has him priced correctly and a player who keeps falling short of it.
Touchdowns are the control. His anytime-TD market implied a 44.9% rate and he converted at 30.8% — a gap of -14.2 points, which is worth noting.
Dallas returns 6 of 6 continuity slots — qb1, wr1, rb1, te1, hc, oc — with Dak Prescott at quarterback, Brian Schottenheimer as head coach and Klayton Adams calling it. The offence projects to 35.75 pass attempts a game at high confidence.
The pie is stable. His slice is the question. Our share model has him at 22.7% against the 26.7% he ran, with a range of 20.9% to 25.2%. CeeDee Lamb projects at 22.7% — for the first time the two of them are projected within a point and a half of each other.
That number is built from 29 comparable players — same age band, same prior share, same team, same coordinator — not from a depth chart. The closest three went Allen Robinson 26.6% to 20%, DeVonta Smith 25.3% to 23.9%, DeVonta Smith 24.7% to 26.1%. 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 25.1% target share, 33.5% of the air yards, a WOPR of 0.61, on the field for 77.8% of snaps. He averaged 4.3 yards of separation against 8.4 yards of cushion, and lost 1.16 yards after the catch above expectation. He finished 25 at the position — WR3.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 105 games, DAL has come in +2.19 points against its own implied total, clearing it in 58% of weeks.
That is a real structural tailwind. Every skill player in this offence gets a small, repeatable bonus the market prices late.
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 272.6 points, 16.6 per game across 16.4 expected games — 93.8 catches, 1293 yards, 7.8 touchdowns. That is WR1, 10 overall, and 116 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.
the "disappointing" back-to-back seasons were really an injury story: Dak missed half of 2024, Lamb himself played hurt through chunks of last year. In the 11 games he didn't leave early hurt, he had 7+ targets in every single one, a 167-target full-season pace. George Pickens' arrival demonstrably opened the field for him — defenses had to respect Pickens downfield, and Lamb posted his highest-ever yards/reception mark as a result. Target ceiling may be a touch capped by sharing volume with Pickens now, but per-target value went up.
The books do not agree on him. CeeDee Lamb is a board split: Underdog takes him ~10, CBS lets him slide to ~15 (4.9-pick gap). That 4.9-pick gap between Underdog and CBS is the practical thing to act on: in a CBS-priced room he is available later than his consensus number suggests.
He goes at 11.5 overall on consensus, with a 4.9-pick spread between cheapest and priciest. He is latest on cbs and earliest on underdog: sleeper 10.6, espn 10.6, yahoo 10, underdog 9.7, cbs 14.9.
At 11.5 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 34% is real and so is the 50% 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 CeeDee Lamb 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 65 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.