What the expected-points record, the coverage data and the market say he is worth at 100.1 overall.
Michael Wilson scored 220.6 fantasy points in 2025. The volume he earned was worth 215.2. That gap of 5.4 points is the single most important thing to understand before drafting him at 100.1 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: receiving TDs went up from 0.1 to 1.2, at 5.15 standard deviations. The cause was structural — targets were redistributed inside the offense. He also missed Week 8.
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 12.98 points per game on 126 targets — a 66.8% jump on his 2024 rate with ARI. 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 traveled, what was that usage worth? For 2025 the answer was 215.2 points — 12.7 per game. He scored 5.4 more than that, a 2.5% overshoot.
The expected line underneath the season was 78.3 catches for 992 yards and 6.3 touchdowns, and he cleared it.
2 of his 17 games produced 25 or more points: Week 11 against SF (33.5), Week 14 against LA (37.2). Strip them and the remaining 15 games average 10.
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. 10 games came in under 10 points, including Week 1 against NO (1.5) and Week 2 against CAR (8.1).
The three largest overshoots — Week 14 (+9.9), Week 16 (+8.1), Week 18 (+7.2) — are the same games. The spikes were not extra volume. They were finishing.
1 of his 3 seasons ran hot: 2023 (+14.8%). Across all 3 he has scored 18.9 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 257 targets and four seasons, he has been a fundamentally different receiver depending on what the defense played. Against man he has caught 56.7% for 7.48 yards per target and 0.119 expected points added per target. Against zone: 68%, 8.76 yards, 0.278 EPA.
That is a gap of -0.159 EPA per target on a sample of 104 man targets against 153 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, 7.84 yards per target, 0.04 EPA. His best is Cover 4 quarters at 0.645 on 33 targets.
The weakness is specific. Against Cover 1, single-high man he has caught 55.7% for 7.84 yards a target and 0.04 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 63 graded prop lines, he has gone over 46.0% of the time. On receiving yards specifically the number is 48.4% across 31 lines, missing the posted number by an average of 20.4%.
That is close enough to a coin flip that the market has him fairly priced on his primary market. There is no edge to claim in either direction.
Touchdowns are the control. His anytime-TD market implied a 24.8% rate and he converted at 25.8% — a gap of 1.0 points, which is noise.
Arizona returns 2 of 6 continuity slots — wr1, te1 — with Jacoby Brissett at quarterback, Mike LaFleur as head coach and Nathaniel Hackett calling it. The offense projects to 31.86 pass attempts a game at low confidence.
The pie is stable. His slice is the question. Our share model has him at 13.9% against the 16.8% he ran, with a range of 11% to 16.4%. The biggest competing claim on that pie is Trey McBride at 21.8%, 7.9 points ahead of him.
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 George Pickens 16% to 24.2%, Michael Gallup 19.4% to 16.7%, Brandin Cooks 18.5% to 16.6%. One held, 2 did not.
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 19.2% target share, 31.2% of the air yards, a WOPR of 0.51, an 81.4% snap share. He averaged 1.8 yards of separation, with +2.48 YAC over expected.
Vegas sets an implied total for every team every week, and some offenses beat theirs systematically. Over 102 games, ARI has come in -0.1 points against its own implied total, clearing it in 53% of weeks.
That is close to neutral — the offense 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 159.8 points, 9.7 per game across 16.4 expected games — 59.7 catches, 755 yards, 4.1 touchdowns. That is WR5, 107 overall, and 4 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 books do not agree on him. . That 23.1-pick gap between Sleeper and ESPN is the practical thing to act on: in a ESPN-priced room he is available later than his consensus number suggests.
He goes at 100.1 overall on consensus, and the books are far apart — 23.1 picks between cheapest and priciest, which is a real value window. He is latest on espn and earliest on sleeper: sleeper 83.4, espn 106.5, yahoo 104.9, underdog 92.9, cbs 105.4.
He goes at 100.1 and our board has him 107. That is 6.9 picks of premium on a WR5 projection — the room is paying ahead of where the numbers put him. That does not make him a bad player; it makes this a bad price.
The case for: a 39% boom rate.
The case against: a floor of 7.6 points per game, which is the outcome you are underwriting if the role moves.
The call: let the room have him at that price, and be glad to take him if he falls.
Ask the Coach about Michael Wilson Every number in this piece, plus your league's roster and scoring, in one answer.Expected points are computed from realized usage — targets, air yards and field position — against league-average conversion, not from projections. Prop records cover 63 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.