The volume held. The finishing did not. Whether 2025 was the player breaking or the situation breaking decides what he is worth at 114.9 overall.
Aaron Jones scored 118.7 fantasy points in 2025. The volume he earned was worth 148.2 — he finished 29.5 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 114.9 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 9: rushing yards went up from 20.3 to 54.1, a 166.1% change, at 3.7 standard deviations. The cause was structural — targets were redistributed inside the offence. He also missed Weeks 3, 4, 5, 6, 7, 18.
Year over year the engine classifies 2025 as a decline that came from the offence, not the player. 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 9.89 points per game on 41 touches — down 29% from his 2024 rate with MIN. 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 148.2 points — 12.4 per game. He scored 29.5 FEWER than that, a 19.9% shortfall.
The expected line underneath the season was 32.1 catches for 242 yards and 1.5 touchdowns — and he came in under it.
The expected line was 32.1 catches for 242 yards and 1.5 touchdowns. He finished with 28, 199 and 1.
38% of the entire shortfall came from receiving yards alone. He hit 87% of his expected catches and 67% of his expected touchdowns — and 82% of his expected receiving yards.
That distinction matters more than the raw finish. A player who loses his role posts a low score and a low expected score. Aaron Jones posted a low score on an expected total of 148.2 — 12.4 points a game of earned opportunity. The targets were still coming. What went wrong happened after the ball was in the air.
Not one of his 12 games cleared 25 points. His best was 15.9 in Week 10. For a player who had cleared it routinely before 2025, that is the clearest single symptom of the year — not a change in what he was asked to do, a change in what came of it.
A steady floor has its own value, but this was not a floor season by choice. 6 games came in under 10 points, including Week 2 against ATL (2.3) and Week 8 against LAC (5).
The three largest overshoots — Week 1 (+5.9), Week 9 (+3), Week 10 (+0.7) — are the same games. The spikes were not extra volume. They were finishing.
2 of his 6 seasons ran hot: 2020 (+13.5%), 2021 (+11.3%). 2 came in below what the usage justified: 2024 (-10%), 2025 (-19.9%). Across all 6 he has scored 11 points more 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.
Across 233 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 75.6% for 5.62 yards per target and 0.218 expected points added per target. Against zone: 75.3%, 5.39 yards, -0.131 EPA.
That is a gap of 0.348 EPA per target on a sample of 78 man targets against 154 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: 55 targets, 5.49 yards per target, 0.146 EPA. His best is 2-Man at 0.428 on 18 targets.
The weakness is specific. Against Cover 4 quarters he has caught 70% for 3.6 yards a target and -0.312 EPA across 30 looks — a gap of 0.7 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 112 graded prop lines, he has gone over 51.8% of the time. On receiving yards specifically the number is 53.6% across 28 lines, beating the posted number by an average of 14.6%.
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 46.0% rate and he converted at 32.1% — a gap of -13.8 points, which is worth noting.
Minnesota returns 5 of 6 continuity slots — wr1, rb1, te1, hc, oc — with Kyler Murray at quarterback, Kevin O'Connell as head coach and Wes Phillips calling it. The offence projects to 32.63 pass attempts a game at medium confidence.
The pie is stable. His slice is the question. Our share model has him at 9.8% against the 13.2% he ran, with a range of 7.4% to 11.1%.
That number is built from 22 comparable players — same age band, same prior share, same team, same coordinator — not from a depth chart. The closest three went Cordarrelle Patterson 10.8% to 6.9%, Cordarrelle Patterson 10.2% to 11.1%, Rex Burkhead 11.6% to 10.3%. 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 14.1% target share, -1.3% of the air yards, a WOPR of 0.2, on the field for 55.1% of snaps. He finished 42 at the position — RB4.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 103 games, MIN has come in +0.13 points against its own implied total, clearing it in 53% 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 119.6 points, 7.5 per game across 16 expected games — 22.5 catches, 155 yards, 1.6 touchdowns. That is RB5, 135 overall, and -36 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.
8-year-lows across the board in efficiency, lost RZ work to Jordan Mason, aging cliff (32 in Dec.), no realistic path to being startable
The books do not agree on him. . That 16.4-pick gap between CBS and Underdog is the practical thing to act on: in a Underdog-priced room he is available later than his consensus number suggests.
He goes at 114.9 overall on consensus, and the books are far apart — 16.4 picks between cheapest and priciest, which is a real value window. He is latest on underdog and earliest on cbs: sleeper 108.8, espn 123.4, yahoo 120.2, underdog 124.7, cbs 107.
At 114.9 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 36% is real and so is the 81% 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 Aaron Jones 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 112 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.