He has beaten his expected points in 1 of 2 seasons. Whether that is a skill or a countdown decides what he is worth at 202.2 overall.
Ryan Flournoy scored 114 fantasy points in 2025. The volume he earned was worth 95.6. That gap of 18.4 points is the single most important thing to understand before drafting him at 202.2 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 5: snap share went up from 22.3 to 54.1, a 142.2% change, at 4.21 standard deviations. The cause was structural — targets were redistributed inside the offense. He also missed Weeks 1, 10, 17.
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.
He finished 7.6 points per game on 56 targets — a 192.3% jump on his 2024 rate with DAL. 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 traveled, what was that usage worth? For 2025 the answer was 95.6 points — 6.4 per game. He scored 18.4 more than that, a 19.2% overshoot.
The expected line underneath the season was 34.8 catches for 441 yards and 2.8 touchdowns, and he cleared it.
Against the expected line, he finished 40 catches, 475 receiving yards, 4 touchdowns — against 34.8, 441, 2.8 expected.
46% of the entire gain came from touchdowns. He hit 143% of his expected touchdowns, against 115% of his expected catches and 108% of his expected receiving yards.
1 of his 15 games produced 25 or more points: Week 14 against DET (26.5). Strip it and the remaining 14 games average 6.3.
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. 12 games came in under 10 points, including Week 2 against NYG (0) and Week 3 against CHI (4.1).
The three largest overshoots — Week 16 (+6.4), Week 9 (+5.8), Week 11 (+5.5) — are the same games. The spikes were not extra volume. They were finishing.
1 of his 2 seasons ran hot: 2025 (+19.2%). 1 came in below what the usage justified: 2024 (-26.6%). Across both seasons he has scored 11.8 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.
Across 70 targets and four seasons, he has been a fundamentally different receiver depending on what the defense played. Against man he has caught 62.5% for 8.22 yards per target and 0.383 expected points added per target. Against zone: 78.9%, 8.26 yards, 0.357 EPA.
That is a gap of 0.026 EPA per target on a sample of 32 man targets against 38 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: 16 targets, 8.88 yards per target, 0.472 EPA. That is his best number against his largest sample, which is the opposite of a fluke.
The weakness is specific. Against Cover 2 he has caught 87.5% for 9.25 yards a target and 0.458 EPA across 16 looks — a gap of 0 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.
Dallas returns 6 of 6 continuity slots — qb1, wr1, rb1, te1, hc, oc — with Dak Prescott at quarterback, Brian Schottenheimer as head coach and Klayton Adams calling it. The offense projects to 35.75 pass attempts a game at high confidence.
The pie is stable. His slice is the question. Our share model has him at 8.8% against the 12.8% he ran, with a range of 6.5% to 11.9%. The biggest competing claim on that pie is CeeDee Lamb at 22.7%, 13.9 points ahead of him.
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 Randall Cobb 12.4% to 11.9%, Nick Westbrook-Ikhine 11.6% to 11.8%, Trey Palmer 11.5% to 5.9%. Two held, one did 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 12.8% target share, 12.2% of the air yards, a WOPR of 0.28, a 47.7% snap share. He averaged 3.13 yards of separation, with +0.55 YAC over expected.
Vegas sets an implied total for every team every week, and some offenses beat theirs systematically. Over 105 games, DAL has come in +2.19 points against its own implied total, clearing it in 58% of weeks.
That is a real structural tailwind. Every skill player in this offense 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.
Our board has him at 133.1 points, 8.1 per game across 16.4 expected games — 48.8 catches, 609 yards, 3.9 touchdowns. That is WR6, 150 overall, and -23 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.
staff-praised all off-season, locked into Dallas's heavy-11-personnel usage (Cowboys bucking the leaguewide heavy-personnel trend), contingent WR2 if Lamb/Pickens miss time
The books do not agree on him. Ryan Flournoy is a board split: Underdog takes him ~163, Sleeper lets him slide to ~234 (64-pick gap). The market hasn't settled — room to get him below consensus if your leaguemates draft off the Sleeper board. That 64-pick gap between Underdog and Sleeper is the practical thing to act on: in a Sleeper-priced room he is available later than his consensus number suggests.
He goes at 202.2 overall on consensus, and the books are far apart — 64 picks between cheapest and priciest, which is a real value window. He is latest on sleeper and earliest on underdog: sleeper 234.2, espn 170.2, underdog 163.1.
He goes at 202.2 and our board has him 150. That is 52.2 picks of discount on a WR6 projection — you are getting the WR6 outcome at a price the room has set below it.
The case for: a 79% boom rate; an offense that beats its own implied total by 2.19 points a game.
The case against: 3 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 Ryan Flournoy 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. 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.