GWTTKB Research · Player Study

Should you draft Rhamondre Stevenson in 2026?

He has beaten his expected points in 1 of 5 seasons. Whether that is a skill or a countdown decides what he is worth at 91.8 overall.

Rhamondre Stevenson scored 231.1 fantasy points in 2025. The volume he earned was worth 201. That gap of 30.1 points is the single most important thing to understand before drafting him at 91.8 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: fantasy points went up from 9 to 26.8, a 198.9% change, at 3.29 standard deviations. The cause was structural — the offense around him got sharply better. He also missed Weeks 9, 10, 11, 14.

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.

What actually happened in 2025

He finished 12.84 points per game on 240 touches — a 9.5% 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 carries he took, where on the field they started, and the targets he drew out of the backfield, what was that usage worth? For 2025 the answer was 201 points — 11.2 per game. He scored 30.1 more than that, a 15% overshoot.

The expected line underneath the season was 821 rushing yards and 6.1 rushing touchdowns, plus 40.7 catches for 307 yards and 1.9 receiving touchdowns, and he cleared it.

Where the season actually moved

Against the expected line, he finished 820 rushing yards, 7 rushing touchdowns, 44 catches, 471 receiving yards, 3 receiving touchdowns — against 821, 6.1, 40.7, 307, 1.9 expected.

52% of the entire gain came from receiving yards. He hit 153% of his expected receiving yards, against 100% of his expected rushing yards and 115% of his expected rushing touchdowns and 108% of his expected catches and 158% of his expected receiving touchdowns.

0102030401LV2MIA3PIT4CAR5BUF6NO7TEN8CLE12CIN13NYG15BUF16BAL17NYJ18MIA
ExpectedBeat itMissed it
Every week of 2025, what he was worth against what he scored. Expected points come from the volume he actually earned — carries, where they started on the field, and the targets he drew out of the backfield. He cleared it in 7 of 14 games.

The season was two games

2 of his 14 games produced 25 or more points: Week 17 against NYJ (27.2), Week 18 against MIA (35.3). Strip them and the remaining 12 games average 9.7.

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. 6 games came in under 10 points, including Week 1 against LV (4.7) and Week 3 against PIT (4.6).

The three largest overshoots — Week 18 (+27.7), Week 17 (+14.2), Week 16 (+8) — are the same games. The spikes were not extra volume. They were finishing.

This has happened before

051015202021NE · 163 tch2022NE · 298 tch2023NE · 207 tch2024NE · 248 tch2025NE · 240 tch
Expected /gActual — ran hotActual — in line
5 seasons, actual against expected. 1 of the 5 came in meaningfully above what the volume justified.

1 of his 5 seasons ran hot: 2025 (+15%). 2 came in below what the usage justified: 2023 (-13.9%), 2024 (-10.6%). Across all 5 he has scored 24.3 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.

There is a mechanism, and it is man coverage

COVER 366 tgt-0.2054.52 y/tCOVER 250 tgt-0.015.98 y/tCOVER 149 tgt-0.0036.1 y/tCOVER 427 tgt+0.26.89 y/tCOVER 617 tgt-0.0564.59 y/t
What he does against each coverage, 237 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 237 targets and four seasons — a back’s pass-game role rather than his primary work, so read it as a tiebreaker and not as the case for him, he has been a different pass-catcher depending on what the defense played. Against man he has caught 66.2% for 5.93 yards per target and 0.105 expected points added per target. Against zone: 83.1%, 5.39 yards, -0.049 EPA.

That is a gap of 0.154 EPA per target on a sample of 68 man targets against 166 zone. The catch rate goes the other way — he catches more against zone — which is exactly what you would expect from a back used as a checkdown outlet rather than as a downfield threat.

The shell detail sharpens it. Cover 3 is the look he has faced most: 66 targets, 4.52 yards per target, -0.205 EPA. His best is Cover 4 quarters at 0.2 on 27 targets.

The weakness is specific. Against Cover 3 he has caught 80.3% for 4.52 yards a target and -0.205 EPA across 66 looks — a gap of 0.4 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 107 graded prop lines, he has gone over 49.5% of the time. On rushing yards specifically the number is 51.9% across 27 lines, beating the posted number by an average of 1.3%.

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 40.9% rate and he converted at 33.3% — a gap of -7.6 points, which is worth noting.

So the risk is not efficiency. It is the touches.

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.

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 Robinson 11.4% to 5.3%, James Conner 10.8% to 9.4%, Melvin Gordon 13.1% to 8.4%. One held, 2 did not.

The numbers that carry, and the ones that do not

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. time to the line of scrimmage (r 0.128), snap-share trend (r 0.103), recent scoring form (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: 188 carries, 35.6% of his team’s red-zone carries, 37.7% of the goal-line work, a 59.4% snap share. His carries produced -0.136 EPA per play, and he ran a 10.6% target share out of the backfield.

The offense he plays in

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.

What we project for 2026

8.7 floor 11.9 ppg 18.8 ceiling bust 27% boom 57%
The 2026 range, not the point estimate. 11.9 is the middle. The spread from 8.7 to 18.8 is the actual bet.

Our board has him at 189.8 points, 11.9 per game across 16 expected games — 815 rushing yards, 5.8 rushing touchdowns, 33.3 catches for 258 yards. That is RB4, 61 overall, and 33 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

still literally the guy who played 61%+ of snaps in all four of his team's playoff games mere months before this recording; the only real threat to his role is the org publicly wanting Henderson to be "the guy" going forward, which hasn't actually happened on the field yet.

HOLD · medium conviction · 2026-08

Where to draft him

The books do not agree on him. Rhamondre Stevenson is a board split: Underdog takes him ~73, ESPN lets him slide to ~112 (30.1-pick gap). That 30.1-pick gap between Underdog 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 91.8 overall on consensus, and the books are far apart — 30.1 picks between cheapest and priciest, which is a real value window. He is latest on espn and earliest on underdog: sleeper 86.7, espn 112.1, yahoo 82, underdog 72.8, cbs 86.4.

He goes at 91.8 and our board has him 61. That is 30.8 picks of discount on a RB4 projection — you are getting the RB4 outcome at a price the room has set below it.

The case for: a 57% boom rate.

The case against: 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 Rhamondre Stevenson 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 107 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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