GWTTKB Research · Player Study

Should you draft Amon-Ra St Brown in 2026?

He has beaten his expected points in 4 of 5 seasons. Whether that is a skill or a countdown decides what he is worth at 8.4 overall.

Amon-Ra St Brown scored 324 fantasy points in 2025. The volume he earned was worth 293.7. That gap of 30.3 points is the single most important thing to understand before drafting him at 8.4 overall.

The week it changed

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 TDs went down from 0.8 to 0, a 100% change, at 3.02 standard deviations. The cause was structural — the offence around him got worse at moving the ball. He also missed Week 8.

Year over year the engine classifies 2025 as a decline with more than one cause. 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.

What actually happened in 2025

He finished 19.06 points per game on 172 targets — a 1.5% jump on his 2024 rate with DET. 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 293.7 points — 17.3 per game. He scored 30.3 more than that, a 10.3% overshoot.

The expected line underneath the season was 106.9 catches for 1354 yards and 8.6 touchdowns, and he cleared it.

The miss was touchdowns, and almost nothing else

The expected line was 106.9 catches for 1354 yards and 8.6 touchdowns. He finished with 117, 1401 and 11.

49% of the entire gain came from touchdowns alone. He hit 109% of his expected catches and 103% of his expected receiving yards — and 128% of his expected touchdowns.

010203040501GB2CHI3BAL4CLE5CIN6KC7TB9MIN10WAS11PHI12NYG13GB14DAL15LA16PIT17MIN18CHI
ExpectedBeat itMissed it
Every week of 2025, what he was worth against what he scored. Expected points come from the volume he actually earned — targets, air yards, and where on the field they came. He cleared it in 8 of 17 games.

The season was four games

4 of his 17 games produced 25 or more points: Week 2 against CHI (39.2), Week 4 against CLE (26), Week 12 against NYG (29.9), Week 15 against LA (41.4). Strip them and the remaining 13 games average 14.4.

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. 4 games came in under 10 points, including Week 1 against GB (8.5) and Week 11 against PHI (6.2).

The three largest overshoots — Week 2 (+20.4), Week 4 (+14), Week 15 (+10.7) — are the same games. The spikes were not extra volume. They were finishing.

This has happened before

05101520252021DET · 119 tgt2022DET · 146 tgt2023DET · 198 tgt2024DET · 151 tgt2025DET · 172 tgt
Expected /gActual — ran hotActual — in line
Four seasons, actual against expected. Two of the four came in meaningfully above what the volume justified.

3 of his 5 seasons ran hot: 2021 (+10.2%), 2023 (+13.6%), 2025 (+10.3%). Across all 5 he has scored 186.1 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.

There is a mechanism, and it is man coverage

COVER 1201 tgt+0.5748.64 y/tCOVER 3166 tgt+0.3269.28 y/tCOVER 2108 tgt+0.459.36 y/tCOVER 471 tgt+0.4767.99 y/tCOVER 642 tgt+0.4869.74 y/tCOVER 036 tgt+0.5014.83 y/t2 MAN22 tgt+0.4269.91 y/tCOVER 916 tgt+0.4418.69 y/t
What he does against each coverage, 668 targets over four seasons. Cover 1 is single-high man — the look he sees most and punishes hardest. Cover 0 and Cover 6 are the two he cannot solve.

Across 668 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 70.7% for 8.22 yards per target and 0.551 expected points added per target. Against zone: 74.3%, 9.14 yards, 0.396 EPA.

That is a gap of 0.156 EPA per target on a sample of 259 man targets against 409 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: 201 targets, 8.64 yards per target, 0.574 EPA. That is his best number against his largest sample, which is the opposite of a fluke.

The weakness is specific. Against Cover 3 he has caught 71.1% for 9.28 yards a target and 0.326 EPA across 166 looks — a gap of 0.2 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.

The market has him fairly priced

Across 65 graded prop lines, he has gone over 47.7% of the time. On receiving yards specifically the number is 46.9% across 32 lines, missing the posted number by an average of 4.6%.

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 49.6% rate and he converted at 56.3% — a gap of 6.7 points, which is worth noting.

So the risk is not efficiency. It is targets.

Amon-Ra St Brown25.8%Jameson Williams15.9%Sam LaPorta15.2%Jahmyr Gibbs13.2%Kendrick Law7%Greg Dortch5.7%Isaac TeSlaa5.3%
Projected 2026 target share. Pale bar is the p10–p90 range. Built from comparable receivers at the same age, share and offensive continuity — not from a depth chart.

Detroit returns 5 of 6 continuity slots — qb1, wr1, rb1, te1, hc — with Jared Goff at quarterback, Dan Campbell as head coach and Drew Petzing calling it. The offence projects to 33.86 pass attempts a game at medium confidence.

The pie is stable. His slice is the question. Our share model has him at 25.8% against the 29.8% he ran, with a range of 24.1% to 27.8%.

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 Amon-Ra St. Brown 27.9% to 31.7%, Stefon Diggs 27.2% to 29.6%, Ja'Marr Chase 27.1% to 32.1%. Two held, one fell hard.

The numbers that carry, and the ones that do 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 31.7% target share, 38.7% of the air yards, a WOPR of 0.75, on the field for 85.2% of snaps. He averaged 2.4 yards of separation against 6.3 yards of cushion, and gained 0.24 yards after the catch above expectation. He finished 3 at the position — WR1.

The offence he plays in

Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 105 games, DET has come in +1.99 points against its own implied total, clearing it in 53% 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.

What we project for 2026

16.3 floor 18.4 ppg 26.1 ceiling bust 12% boom 42%
The 2026 range, not the point estimate. 18.4 is the middle. The spread from 16.3 to 26.1 is the actual bet.

Our board has him at 301 points, 18.4 per game across 16.4 expected games — 109.3 catches, 1283 yards, 10.1 touchdowns. That is WR1, 5 overall, and 144 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.

What we have been saying about him

105+ catches and 1,050+ yards in 4 straight seasons, missed only 2 games in 5 years. Losing David Montgomery could push the offense even more pass-heavy near the goal line. The honest knock: he lacks the "lead all WRs by a point or two per game" spike ceiling the very top tier has — this is the safety pick, not the ceiling pick.

BUY · high conviction · 2026-08 · 2 logged takes

That is the current read. It has held since 2026-06-05.

It rests on one of our draft principles:

Where to draft him

The books do not agree on him. Amon-Ra St. Brown is a consensus pick — every book within 0. That 0.7-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 8.4 overall on consensus, and the books are tight on him — 0.7 picks between cheapest and priciest. He is latest on cbs and earliest on underdog: sleeper 8.1, espn 8.3, yahoo 8.5, underdog 7.1, cbs 8.8.

At 8.4 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 12% is real and so is the 42% 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 Amon-Ra St Brown 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.

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