What the expected-points record, the coverage data and the market say he is worth at 2.3 overall.
Bijan Robinson scored 370.8 fantasy points in 2025. The volume he earned was worth 344.3. That gap of 26.5 points is the single most important thing to understand before drafting him at 2.3 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 4: rushing TDs went up from 0 to 0.5, at 2.88 standard deviations. The cause was structural — the offense around him got sharply better. He also missed Week 5.
Year over year the engine classifies 2025 as a breakout that leaned on touchdown luck. 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 21.81 points per game on 390 touches — an 8.5% jump on his 2024 rate with ATL. 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 344.3 points — 20.3 per game. He scored 26.5 more than that, a 7.7% overshoot.
The expected line underneath the season was 1,253 rushing yards and 9.2 rushing touchdowns, plus 80.5 catches for 608 yards and 3.7 receiving touchdowns, and he cleared it.
Against the expected line, he finished 1,478 rushing yards, 7 rushing touchdowns, 79 catches, 820 receiving yards, 4 receiving touchdowns — against 1,253, 9.2, 80.5, 608, 3.7 expected.
37% of the entire gain came from rushing yards. He hit 118% of his expected rushing yards, against 76% of his expected rushing touchdowns and 98% of his expected catches and 135% of his expected receiving yards and 108% of his expected receiving touchdowns.
7 of his 17 games produced 25 or more points: Week 4 against WAS (28.1), Week 6 against BUF (35.8), Week 11 against CAR (30.3), Week 13 against NYJ (30.3), Week 15 against TB (29.5), Week 16 against ARI (29.8), Week 17 against LA (39.9). Strip them and the remaining 10 games average 14.7.
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. 3 games came in under 10 points, including Week 8 against MIA (5.8) and Week 14 against SEA (9.4).
The three largest overshoots — Week 17 (+13.3), Week 6 (+11.1), Week 4 (+9.5) — are the same games. The spikes were not extra volume. They were finishing.
1 of his 3 seasons ran hot: 2024 (+11.1%). Across all 3 he has scored 50.4 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 261 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 76.8% for 8.49 yards per target and 0.132 expected points added per target. Against zone: 75.4%, 5.86 yards, 0.046 EPA.
That is a gap of 0.086 EPA per target on a sample of 69 man targets against 191 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: 74 targets, 6.45 yards per target, 0.107 EPA. His best is Cover 1, single-high man at 0.38 on 55 targets.
The weakness is specific. Against Cover 4 quarters he has caught 63.3% for 5.57 yards a target and -0.057 EPA across 30 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.
Across 128 graded prop lines, he has gone over 55.5% of the time. On rushing yards specifically the number is 62.5% across 32 lines, beating the posted number by an average of 14.4%.
A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 63% of the time on the same market is a harder thing to explain away.
Touchdowns are the control. His anytime-TD market implied a 61.2% rate and he converted at 56.3% — a gap of -5.0 points, which is worth noting.
Atlanta returns 4 of 6 continuity slots — qb1, wr1, rb1, te1 — with Michael Penix Jr at quarterback, Kevin Stefanski as head coach and Tommy Rees calling it. The offense projects to 32.83 pass attempts a game at medium 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 Austin Ekeler 16.7% to 14.7%, Breece Hall 16.1% to 14.1%, Austin Ekeler 16.8% to 17.3%. One held, 2 did 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: 287 carries, 52.2% of his team’s red-zone carries, 47.4% of the goal-line work, a 78.2% snap share. His carries produced -0.043 EPA per play, and he ran a 19.8% target share out of the backfield.
Vegas sets an implied total for every team every week, and some offenses beat theirs systematically. Over 101 games, ATL has come in -1.07 points against its own implied total, clearing it in 49% of weeks.
That is a structural drag. The market keeps expecting more from this offense than it delivers, and every skill player in it inherits that.
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 379 points, 23.7 per game across 16 expected games — 1,504 rushing yards, 10.4 rushing touchdowns, 73.7 catches for 649 yards. That is RB1, 2 overall, and 222 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.
never missed a game outside one meaningless snap; Allgeier's departure (he was out-touching Bijan inside the 10 last year) could hand Bijan the full goal-line role on top of already being featured everywhere else.
The books do not agree on him. Bijan Robinson is a board split: Yahoo takes him ~2, Sleeper lets him slide to ~3 (1.1-pick gap). That 1.1-pick gap between Yahoo 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 2.3 overall on consensus, and the books are tight on him — 1.1 picks between cheapest and priciest. He is latest on sleeper and earliest on yahoo: sleeper 2.9, espn 2.6, yahoo 1.8, underdog 2, cbs 1.9.
He goes at 2.3 and our board has him 2. Those agree, so there is no market disagreement to exploit here — the question is whether you want the RB1 profile, not whether it is mispriced.
The case for: 222 points of value over a replacement starter; a 39% boom rate.
The case against: 50.4 career points scored above expectation — real, and not something to underwrite twice; an offense that has come in 1.07 points under its own implied total.
The call: fair value — draft him because you want this running back, not because you are getting a deal.
Ask the Coach about Bijan Robinson 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 128 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.