He has beaten his expected points in 1 of 3 seasons. Whether that is a skill or a countdown decides what he is worth at 161.7 overall.
Tank Bigsby scored 55.7 fantasy points in 2025. The volume he earned was worth 48.5. That gap of 7.2 points is the single most important thing to understand before drafting him at 161.7 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 7: rushing yards went up from 2.4 to 34.4, at 2.87 standard deviations. The cause was structural — the offence around him got sharply better. He also missed Weeks 2, 9, 13.
Year over year the engine classifies 2025 as a stable year. 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 3.48 points per game on 4 touches — down 59.5% from his 2024 rate with JAX. 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 48.5 points — 3 per game. He scored 7.2 more than that, a 14.8% overshoot.
The expected line underneath the season was 3.1 catches for 24 yards and 0.1 touchdowns, and he cleared it.
Not one of his 15 games cleared 25 points. His best was 17.6 in Week 18. He wins with volume rather than with weeks that swing a matchup.
A steady floor has its own value in a lineup that needs one. 13 games came in under 10 points, including Week 1 against CAR (1.2) and Week 3 against LA (0).
The three largest overshoots — Week 16 (+7.2), Week 18 (+5.9), Week 8 (+4.7) — are the same games. The spikes were not extra volume. They were finishing.
1 of his 3 seasons ran hot: 2025 (+14.8%). 1 came in below what the usage justified: 2023 (-30.5%). Across all 3 he has scored 1.1 points fewer 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 20 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 33.3% for 5.67 yards per target and -0.17 expected points added per target. Against zone: 64.3%, 4.14 yards, -1.161 EPA.
That is a gap of null EPA per target on a sample of 6 man targets against 14 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.
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 42 graded prop lines, he has gone over 47.6% of the time. On rushing attempts specifically the number is 46.7% across 15 lines, missing the posted number by an average of 41.5%.
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 25.9% rate and he converted at 25.0% — a gap of -0.9 points, which is noise.
Philadelphia returns 4 of 6 continuity slots — qb1, rb1, te1, hc — with Jalen Hurts at quarterback, Nick Sirianni as head coach and Sean Mannion calling it. The offence projects to 31.02 pass attempts a game at medium confidence.
The pie is stable. His slice is the question. Our share model has him at 2.5% against the 4.2% he ran, with a range of 1.3% to 3%.
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 Benny Snell 5.1% to 3.3%, Samaje Perine 4.5% to 6.5%, Gus Edwards 5.1% to 6.1%. 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 4.3% target share, -0.5% of the air yards, a WOPR of 0.06, on the field for 14.2% of snaps. He finished 66 at the position — RB5+.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 111 games, PHI has come in +1.06 points against its own implied total, clearing it in 49% of weeks.
That is a real structural tailwind. Every skill player in this offence 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 88.8 points, 5.5 per game across 16 expected games — 8.9 catches, 66 yards, 0.7 touchdowns. That is RB6, 175 overall, and -66 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.
The books do not agree on him. Tank Bigsby is a board split: Yahoo takes him ~132, Sleeper lets him slide to ~188 (55.7-pick gap). That 55.7-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 161.7 overall on consensus, and the books are far apart — 55.7 picks between cheapest and priciest, which is a real value window. He is latest on sleeper and earliest on yahoo: sleeper 187.7, espn 167.7, yahoo 132, underdog 157.6, cbs 159.3.
At 161.7 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 41% is real and so is the 86% 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 Tank Bigsby 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 42 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.