What the expected-points record, the coverage data and the market say he is worth at 113.6 overall.
Jake Ferguson scored 188.1 fantasy points in 2025. The volume he earned was worth 185.2. That gap of 2.9 points is the single most important thing to understand before drafting him at 113.6 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 15: receiving yards went down from 42.6 to 11.5, a 73% change, at 4.19 standard deviations. The cause was structural — the offence around him got worse at moving the ball. He also missed Week 10.
Year over year the engine classifies 2025 as a breakout built on new volume. 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 11.06 points per game on 102 targets — a 48.3% jump on 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 185.2 points — 10.9 per game. He scored 2.9 more than that, a 1.6% overshoot.
The expected line underneath the season was 73.6 catches for 765 yards and 5.9 touchdowns, and he cleared it.
Not one of his 17 games cleared 25 points. His best was 23.9 in Week 5. 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. 8 games came in under 10 points, including Week 1 against PHI (7.3) and Week 8 against DEN (0).
The three largest overshoots — Week 7 (+9.2), Week 5 (+7.6), Week 6 (+6.9) — are the same games. The spikes were not extra volume. They were finishing.
Not one of his 4 seasons is flagged as running hot. 1 came in below what the usage justified: 2024 (-31.4%). Across all 4 he has scored 15.2 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 326 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 66.7% for 5.75 yards per target and 0.057 expected points added per target. Against zone: 79.4%, 7.2 yards, 0.269 EPA.
That is a gap of -0.213 EPA per target on a sample of 132 man targets against 194 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: 79 targets, 5.99 yards per target, 0.039 EPA. His best is Cover 4 quarters at 0.607 on 36 targets.
The weakness is specific. Against Cover 1, single-high man he has caught 70.9% for 5.99 yards a target and 0.039 EPA across 79 looks — a gap of 0.6 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 58 graded prop lines, he has gone over 44.8% of the time. On receiving yards specifically the number is 34.5% across 29 lines, missing the posted number by an average of 5.8%.
That cuts against him. A book that has him beaten 66% 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 32.1% rate and he converted at 17.2% — a gap of -14.9 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 12.9% against the 16.9% he ran, with a range of 11% to 14.3%. 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 25 comparable players — same age band, same prior share, same team, same coordinator — not from a depth chart. The closest three went Tyler Higbee 18.1% to 13.2%, Cade Otton 15.6% to 17.4%, Evan Engram 17.2% to 23.5%. 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 16.5% target share, 8.9% of the air yards, a WOPR of 0.31, on the field for 66.7% of snaps. He averaged 3.09 yards of separation against 4.52 yards of cushion, and lost 0.38 yards after the catch above expectation. He finished 9 at the position — TE1.
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 147.5 points, 9.7 per game across 15.2 expected games — 67 catches, 535 yards, 4.5 touchdowns. That is TE3, 108 overall, and -7 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 archetype pure-dump-off floor with no real ceiling: mostly on the field for two-minute-drill checkdowns while the offense's real downfield weapons (Lamb, Pickens) run the actual routes. Snaps are secure, but target-share upside is capped short of multiple injuries ahead of him happening simultaneously.
That is the current read. It is a change — in 2026-06-14 the position was BUY: A fine late-TE target if you punted the position - better than reaching for a mid-round TE. Fits the 'TE early or late' plan; consider double-dipping late.…
It rests on one of our draft principles:
The books do not agree on him. . That 20.4-pick gap between Sleeper 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 113.6 overall on consensus, and the books are far apart — 20.4 picks between cheapest and priciest, which is a real value window. He is latest on underdog and earliest on sleeper: sleeper 104, espn 112.4, yahoo 113.6, underdog 132.5, cbs 124.4.
At 113.6 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 17% is real and so is the 23% 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 Jake Ferguson 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 58 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.