He has beaten his expected points in 1 of 2 seasons. Whether that is a skill or a countdown decides what he is worth at 187.4 overall.
Kayshon Boutte scored 155.9 fantasy points in 2025. The volume he earned was worth 112.7. That gap of 43.2 points is the single most important thing to understand before drafting him at 187.4 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: fantasy points went down from 10.3 to 3.7, a 64.3% change, at 2.75 standard deviations. The cause was structural — targets were redistributed inside the offense. He also missed Weeks 10, 11, 14, 17.
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 8.66 points per game on 66 targets — a 6.5% jump on his 2024 rate with NE. 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 112.7 points — 6.3 per game. He scored 43.2 more than that, a 38.3% overshoot.
The expected line underneath the season was 41 catches for 520 yards and 3.3 touchdowns, and he cleared it.
Against the expected line, he finished 42 catches, 719 receiving yards, 7 touchdowns — against 41, 520, 3.3 expected.
52% of the entire gain came from touchdowns. He hit 212% of his expected touchdowns, against 102% of his expected catches and 138% of his expected receiving yards.
1 of his 14 games produced 25 or more points: Week 6 against NO (26.3). Strip it and the remaining 13 games average 7.5.
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. 9 games came in under 10 points, including Week 2 against MIA (8.6) and Week 3 against PIT (4.8).
The three largest overshoots — Week 6 (+17.8), Week 7 (+10.1), Week 8 (+8) — are the same games. The spikes were not extra volume. They were finishing.
Not one of his 2 seasons is flagged as running hot. Across both seasons he has scored 44.6 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 142 targets and four seasons, he has been a fundamentally different receiver depending on what the defense played. Against man he has caught 55.4% for 7.78 yards per target and 0.319 expected points added per target. Against zone: 66.2%, 10.68 yards, 0.387 EPA.
That is a gap of -0.068 EPA per target on a sample of 65 man targets against 77 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: 53 targets, 8.17 yards per target, 0.555 EPA. His best is Cover 2 at 0.939 on 22 targets.
The weakness is specific. Against Cover 3 he has caught 71.9% for 8.69 yards a target and 0.353 EPA across 32 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 48 graded prop lines, he has gone over 50.0% of the time. On receiving yards specifically the number is 50.0% across 24 lines, beating the posted number by an average of 57.7%.
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 20.1% rate and he converted at 28.6% — a gap of 8.4 points, which is worth noting.
New England returns 4 of 6 continuity slots — qb1, te1, hc, oc — with Drake Maye at quarterback, Mike Vrabel as head coach and Josh McDaniels calling it. The offense projects to 30.72 pass attempts a game at high confidence.
The pie is stable. His slice is the question. Our share model has him at 10.5% against the 14.3% he ran, with a range of 8.8% to 12.9%. The biggest competing claim on that pie is A.J. Brown at 23.1%, 12.6 points ahead of him.
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 Marquez Valdes-Scantling 14.1% to 8.2%, Romeo Doubs 17.9% to 19.5%, Nelson Agholor 16.2% to 12.4%. 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 13.6% target share, 23.2% of the air yards, a WOPR of 0.37, a 67.5% snap share. He averaged 2.56 yards of separation, with -0.57 YAC over expected.
Vegas sets an implied total for every team every week, and some offenses beat theirs systematically. Over 106 games, NE has come in -0.07 points against its own implied total, clearing it in 50% 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 120.3 points, 7.3 per game across 16.4 expected games — 40.3 catches, 584 yards, 3.6 touchdowns. That is WR6, 172 overall, and -35 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. Kayshon Boutte is a board split: ESPN takes him ~170, Sleeper lets him slide to ~215 (44.8-pick gap). That 44.8-pick gap between ESPN and Sleeper is the practical thing to act on: in a Sleeper-priced room he is available later than his consensus number suggests.
He goes at 187.4 overall on consensus, and the books are far apart — 44.8 picks between cheapest and priciest, which is a real value window. He is latest on sleeper and earliest on espn: sleeper 215.2, espn 170.4, underdog 197.8, cbs 176.5.
He goes at 187.4 and our board has him 172. That is 15.4 picks of discount on a WR6 projection — you are getting the WR6 outcome at a price the room has set below it.
The case for: a 71% boom rate.
The case against: a 57% bust rate; 44.6 career points scored above expectation — real, and not something to underwrite twice; 4 games missed in the anchor season.
The call: take him at his ADP and do not talk yourself out of it.
Ask the Coach about Kayshon Boutte 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 48 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.