GWTTKB Research · Player Study

Should you draft Ashton Jeanty in 2026?

The volume held. The finishing did not. Whether 2025 was the player breaking or the situation breaking decides what he is worth at 15 overall.

Ashton Jeanty scored 245.1 fantasy points in 2025. The volume he earned was worth 283.4 — he finished 38.3 points BELOW what his own usage justified. That is a different problem from losing the job, and it is the single most important thing to understand before drafting him at 15 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 4: WOPR went up from 0.1 to 0.2, at 4.43 standard deviations. The cause was structural — the change was his alone, not the offence around him. He also missed Week 8.

What actually happened in 2025

He finished 14.42 points per game on 73 touches, his first full season. 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 283.4 points — 16.7 per game. He scored 38.3 FEWER than that, a 13.5% shortfall.

The expected line underneath the season was 57.1 catches for 431 yards and 2.6 touchdowns — and he came in under it.

The miss was touchdowns, and almost nothing else

The expected line was 57.1 catches for 431 yards and 2.6 touchdowns. He finished with 55, 346 and 5.

58% of the entire shortfall came from touchdowns alone. He hit 96% of his expected catches and 80% of his expected receiving yards — and 192% of his expected touchdowns.

That distinction matters more than the raw finish. A player who loses his role posts a low score and a low expected score. Ashton Jeanty posted a low score on an expected total of 283.4 — 16.7 points a game of earned opportunity. The targets were still coming. What went wrong happened after the ball was in the air.

0102030401NE2LAC3WAS4CHI5IND6TEN7KC9JAX10DEN11DAL12CLE13LAC14DEN15PHI16HOU17NYG18KC
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 4 of 17 games.

The season was two games

2 of his 17 games produced 25 or more points: Week 4 against CHI (33.5), Week 16 against HOU (31.8). Strip them and the remaining 15 games average 12.

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. 7 games came in under 10 points, including Week 2 against LAC (7.4) and Week 3 against WAS (6.3).

The three largest overshoots — Week 4 (+17.1), Week 16 (+13.5), Week 9 (+3.8) — are the same games. The spikes were not extra volume. They were finishing.

This has happened before

051015202025LV · 73 tgt
Expected /gActual — ran hotActual — in line
Four seasons, actual against expected. Two of the four came in meaningfully above what the volume justified.

Not one of his 1 seasons is flagged as running hot. 1 came in below what the usage justified: 2025 (-13.5%). Across all 1 he has scored 38.3 points fewer than his usage was worth.

The reflexive read on a down year is decline. But the direction of the miss matters: finishing BELOW expectation is the more correctable of the two errors, because the hard part — earning the volume — is the part that held.

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 missed the number. It is whether there is a mechanism.

There is a mechanism, and it is man coverage

COVER 223 tgt-0.7152.91 y/tCOVER 320 tgt+0.3736.55 y/t
What he does against each coverage, 73 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 73 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 72.2% for 6.61 yards per target and 0.351 expected points added per target. Against zone: 76.4%, 4.13 yards, -0.331 EPA.

That is a gap of 0.682 EPA per target on a sample of 18 man targets against 55 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 2 is the look he has faced most: 23 targets, 2.91 yards per target, -0.715 EPA. His best is Cover 3 at 0.373 on 20 targets.

The weakness is specific. Against Cover 2 he has caught 82.6% for 2.91 yards a target and -0.715 EPA across 23 looks — a gap of 1.1 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 had him right, and he keeps missing

Across 60 graded prop lines, he has gone over 45.0% of the time. On rushing yards specifically the number is 33.3% across 15 lines, missing the posted number by an average of 7.1%.

That cuts against him. A book that has him beaten 67% 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 47.9% rate and he converted at 46.7% — a gap of -1.2 points, which is noise.

So the risk is not efficiency. It is targets.

Brock Bowers21%Tre Tucker14%Ashton Jeanty12.7%Michael Mayer9.7%Dont'e Thornton Jr.7.7%Jack Bech7.4%Mike Washington Jr7.2%Malik Benson7.1%Jalen Nailor7%
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.

Las Vegas returns 2 of 6 continuity slots — rb1, te1 — with Kirk Cousins at quarterback, Klint Kubiak as head coach and Andrew Janocko calling it. The offence projects to 32.15 pass attempts a game at low confidence.

The pie is stable. His slice is the question. Our share model has him at 12.7% against the 15.7% he ran, with a range of 11% to 15.2%.

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 12% to 11.1%, Jerome Ford 11.1% to 10%, Najee Harris 11.5% to 10.5%. Two held, one fell hard.

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. 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 15.7% target share, -6.2% of the air yards, a WOPR of 0.19, on the field for 77.9% of snaps. He finished 14 at the position — RB2.

The offence he plays in

Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 102 games, LV has come in -0.51 points against its own implied total, clearing it in 45% 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.

What we project for 2026

14.4 floor 17.1 ppg 23.8 ceiling bust 16% boom 39%
The 2026 range, not the point estimate. 17.1 is the middle. The spread from 14.4 to 23.8 is the actual bet.

Our board has him at 273.6 points, 17.1 per game across 16 expected games — 55.8 catches, 410 yards, 2.9 touchdowns. That is RB1, 11 overall, and 118 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

1,321 total yards and 55 catches as a rookie *despite* the offense actively falling apart around him (Bowers hurt/playing hurt most of the year, bad O-line, no scheme identity). Better QB play, a healthy Bowers, and heavier personnel groupings all independently point up.

BUY · high conviction · 2026-08 · 3 logged takes

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

It rests on these draft principles:

Where to draft him

The books do not agree on him. Ashton Jeanty is a board split: Underdog takes him ~12, ESPN lets him slide to ~18 (4.9-pick gap). That 4.9-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 15 overall on consensus, with a 4.9-pick spread between cheapest and priciest. He is latest on espn and earliest on underdog: sleeper 15.4, espn 17.9, yahoo 13.6, underdog 12.1, cbs 13.

At 15 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 16% is real and so is the 39% 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 Ashton Jeanty 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 60 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.

← All GWTTKB research