What the expected-points record, the coverage data and the market say he is worth at 57.1 overall.
D'Andre Swift scored 253.4 fantasy points in 2025. The volume he earned was worth 240. That gap of 13.4 points is the single most important thing to understand before drafting him at 57.1 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 6: receptions went down from 3.3 to 1.8, a 46.2% change, at 3.35 standard deviations. The cause was structural — the play-calling changed. He also missed Weeks 5, 9.
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 14.08 points per game on 50 touches — a 11.6% jump on his 2024 rate with CHI. 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 240 points — 13.3 per game. He scored 13.4 more than that, a 5.6% overshoot.
The expected line underneath the season was 39.1 catches for 295 yards and 1.8 touchdowns, and he cleared it.
The expected line was 39.1 catches for 295 yards and 1.8 touchdowns. He finished with 36, 337 and 1.
40% of the entire gain came from touchdowns alone. He hit 92% of his expected catches and 114% of his expected receiving yards — and 56% of his expected touchdowns.
That matters because touchdowns are the least repeatable part of a receiving line. Volume and yards reflect a role; touchdowns reflect a role plus a quarterback putting the ball where it can be caught in a nine-yard window. A player who holds his catches and yards while losing five touchdowns has not lost his job — he has lost the coin flips.
1 of his 16 games produced 25 or more points: Week 6 against WAS (25.5). Strip it and the remaining 15 games average 13.5.
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. 5 games came in under 10 points, including Week 1 against MIN (9.5) and Week 11 against MIN (9).
The three largest overshoots — Week 6 (+11.9), Week 17 (+11.5), Week 15 (+9.7) — are the same games. The spikes were not extra volume. They were finishing.
2 of his 6 seasons ran hot: 2020 (+19.5%), 2022 (+14.8%). 1 came in below what the usage justified: 2024 (-11.9%). Across all 6 he has scored 23.2 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 226 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 68.6% for 7.78 yards per target and 0.054 expected points added per target. Against zone: 76.6%, 5.36 yards, 0.008 EPA.
That is a gap of 0.047 EPA per target on a sample of 51 man targets against 175 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 3 is the look he has faced most: 58 targets, 4.91 yards per target, -0.031 EPA. His best is Cover 4 quarters at 0.332 on 25 targets.
The weakness is specific. Against Cover 6 he has caught 62.5% for 4.63 yards a target and -0.12 EPA across 24 looks — a gap of 0.5 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 124 graded prop lines, he has gone over 50.8% of the time. On receptions specifically the number is 41.9% across 31 lines, missing the posted number by an average of 2.8%.
That cuts against him. A book that has him beaten 58% 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 41.9% rate and he converted at 41.9% — a gap of 0.0 points, which is noise.
Chicago returns 5 of 6 continuity slots — qb1, wr1, rb1, te1, hc — with Caleb Williams at quarterback, Ben Johnson as head coach and Press Taylor calling it. The offence projects to 33.59 pass attempts a game at medium confidence.
The pie is stable. His slice is the question. Our share model has him at 9.4% against the 9.9% he ran, with a range of 7.8% to 10.3%.
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 James Conner 10.8% to 9.4%, Todd Gurley 10% to 0%, David Montgomery 9.3% to 5.8%. Two held, one fell hard.
Across 2,022 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_timeToLOS (r 0.128), f_snapTrend (r 0.103), f_fantasyForm (r 0.078) carry. week-to-week volatility (r -0.163) and receiving EPA per game (r -0.143) 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 9.1% target share, -0.6% of the air yards, a WOPR of 0.13, on the field for 57.9% of snaps. He finished 12 at the position — RB1.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 104 games, CHI has come in +0.48 points against its own implied total, clearing it in 52% 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 210.5 points, 13.2 per game across 16 expected games — 33.3 catches, 274 yards, 2.3 touchdowns. That is RB3, 47 overall, and 55 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.
three straight 250+-touch seasons with real room for the receiving role to grow further; Chicago's brutal 2025 schedule is read as a bigger risk for Kyle Monangai's early-down role than for Swift's, since more competitive/trailing games mean more passing-down snaps for Swift specifically.
That is the current read. It has held since 2026-06-05.
It rests on one of our draft principles:
The books do not agree on him. D'Andre Swift is a board split: CBS takes him ~41, ESPN lets him slide to ~73 (31.7-pick gap). That 31.7-pick gap between CBS 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 57.1 overall on consensus, and the books are far apart — 31.7 picks between cheapest and priciest, which is a real value window. He is latest on espn and earliest on cbs: sleeper 65.1, espn 72.8, yahoo 49.6, underdog 49.1, cbs 41.1.
At 57.1 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 37% is real and so is the 29% 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 D'Andre Swift 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 124 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.