The volume held. The finishing did not. Whether 2024 was the player breaking or the situation breaking decides what he is worth at 135.5 overall.
Kyler Murray scored 77.78 fantasy points in 2024. The volume he earned was worth 97.9 — he finished 20.1 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 135.5 overall.
He finished 15.56 points per game on 29 targets — down 11% from his 2024 rate with ARI. 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 2024 the answer was 97.9 points — 19.6 per game. He scored 20.1 FEWER than that, a 20.6% shortfall.
That distinction matters more than the raw finish. A player who loses his role posts a low score and a low expected score. Kyler Murray posted a low score on an expected total of 97.9 — 19.6 points a game of earned opportunity. The targets were still coming. What went wrong happened after the ball was in the air.
3 of his 17 games produced 25 or more points: Week 2 against LA (28.54), Week 10 against NYJ (28.74), Week 18 against SF (27.88). Strip them and the remaining 14 games average 15.1.
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. 2 games came in under 10 points, including Week 4 against WAS (9.98) and Week 9 against CHI (4.76).
The three largest overshoots — Week 10 (+15.6), Week 2 (+15.2), Week 18 (+9.9) — are the same games. The spikes were not extra volume. They were finishing.
Not one of his 6 seasons is flagged as running hot. 1 came in below what the usage justified: 2025 (-20.6%). Across all 6 he has scored 23.5 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.
Across 66 graded prop lines, he has gone over 47.0% of the time. On rushing attempts specifically the number is 40.9% across 22 lines, missing the posted number by an average of 7.1%.
That cuts against him. A book that has him beaten 59% 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 31.9% rate and he converted at 22.7% — a gap of -9.2 points, which is worth noting.
Across 1,151 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_teamImplLevel (r 0.146) carry.
So the figures worth weighing for him: , on the field for 98.8% of snaps. He finished 38 at the position — QB4.
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 310.8 points, 18.5 per game across 16.8 expected games — 0 catches, 0 yards, 0 touchdowns. That is QB4, 115 overall, and -11 points of value over a replacement starter.
It is a step down from 2024, and the reason is volume rather than efficiency. The projection assumes he keeps doing what he does on slightly fewer looks.
deliberately paired with a "safe" tier-mate as a two-QB build specifically because his own floor is considered genuinely low — real bust risk exists — but the ceiling, given a well- regarded OC and two proven, high-target-earning weapons, is argued to be as high as some names a full tier above him. The specific case: the downside of the pairing strategy is capped (drop him for free if it doesn't work) while the upside is real.
The books do not agree on him. Kyler Murray is a board split: Yahoo takes him ~110, ESPN lets him slide to ~151 (40.5-pick gap). That 40.5-pick gap between Yahoo 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 135.5 overall on consensus, and the books are far apart — 40.5 picks between cheapest and priciest, which is a real value window. He is latest on espn and earliest on yahoo: sleeper 142.2, espn 150.7, yahoo 110.2, underdog 114, cbs 139.
At 135.5 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 20% is real and so is the 36% 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 Kyler Murray 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 66 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.