He has beaten his expected points in 4 of 6 seasons. Whether that is a skill or a countdown decides what he is worth at 7.1 overall.
Jonathan Taylor scored 362.3 fantasy points in 2025. The volume he earned was worth 290.8. That gap of 71.5 points is the single most important thing to understand before drafting him at 7.1 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 12: fantasy points went down from 27.4 to 12.6, a 53.9% change, at 3.39 standard deviations. The cause was structural — the offence around him got worse at moving the ball. He also missed Week 11.
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 21.31 points per game on 55 touches — a 20.9% jump on his 2024 rate with IND. 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 290.8 points — 17.1 per game. He scored 71.5 more than that, a 24.6% overshoot.
The expected line underneath the season was 43 catches for 324 yards and 2 touchdowns, and he cleared it.
The expected line was 43 catches for 324 yards and 2 touchdowns. He finished with 46, 378 and 2.
64% of the entire gain came from receiving yards alone. He hit 107% of his expected catches and 100% of his expected touchdowns — and 117% of his expected receiving yards.
6 of his 17 games produced 25 or more points: Week 2 against DEN (29.5), Week 3 against TEN (32.8), Week 5 against LV (31.6), Week 7 against LAC (34.2), Week 8 against TEN (37.4), Week 10 against ATL (49.6). Strip them and the remaining 11 games average 13.4.
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 9 against PIT (7.7) and Week 12 against KC (8.6).
The three largest overshoots — Week 8 (+26.7), Week 10 (+24.7), Week 7 (+19.4) — are the same games. The spikes were not extra volume. They were finishing.
3 of his 6 seasons ran hot: 2020 (+18.1%), 2023 (+16%), 2025 (+24.6%). 1 came in below what the usage justified: 2022 (-18.6%). Across all 6 he has scored 194.3 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 152 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 60.6% for 5.91 yards per target and -0.268 expected points added per target. Against zone: 77.8%, 5.26 yards, -0.052 EPA.
That is a gap of -0.216 EPA per target on a sample of 33 man targets against 117 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 3 is the look he has faced most: 44 targets, 5.57 yards per target, -0.09 EPA. His best is Cover 4 quarters at 0.21 on 17 targets.
The weakness is specific. Against Cover 1, single-high man he has caught 53.6% for 5.96 yards a target and -0.307 EPA across 28 looks — a gap of 0.5 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 115 graded prop lines, he has gone over 51.3% of the time. On rushing yards specifically the number is 58.6% across 29 lines, beating the posted number by an average of 19.9%.
A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 59% of the time on the same market is a harder thing to explain away.
Touchdowns are the control. His anytime-TD market implied a 62.1% rate and he converted at 58.6% — a gap of -3.5 points, which is worth noting.
Indianapolis returns 5 of 6 continuity slots — qb1, rb1, te1, hc, oc — with Daniel Jones at quarterback, Shane Steichen as head coach and Jim Bob Cooter calling it. The offence projects to 32.49 pass attempts a game at high confidence.
The pie is stable. His slice is the question. Our share model has him at 10.1% against the 10.6% he ran, with a range of 8.5% to 11.3%.
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 Derrick Henry 10.6% to 8.8%, Kyren Williams 10.5% to 8.4%, Josh Jacobs 12.1% to 10.7%. 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 11.7% target share, -1.2% of the air yards, a WOPR of 0.17, on the field for 82.6% of snaps. He finished 4 at the position — RB1.
Vegas sets an implied total for every team every week, and some offences beat theirs systematically. Over 102 games, IND has come in +1.21 points against its own implied total, clearing it in 55% 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 292.1 points, 18.3 per game across 16 expected games — 34.2 catches, 270 yards, 1.6 touchdowns. That is RB1, 8 overall, and 137 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.
17 rushing TDs and a 2,378-yard full-season pace through the first 10 weeks last year, before Daniel Jones got hurt and the offense collapsed to a bottom-25 unit — a level of production almost no back is capable of hitting even for a hot stretch. The knock is entirely systemic (QB health, Pittman gone, unproven backup weapons), not about Taylor himself.
That is the current read. It is a change — in 2026-08 the position was HOLD: 4th-most-rostered RB (18%, expected to drop as CMC gets bumped ahead) — bull case built on a 10-week 2024 pace (2,378 total-yd/29-TD full-season pace) before Daniel Jones got hurt…
The books do not agree on him. Jonathan Taylor is a board split: CBS takes him ~6, ESPN lets him slide to ~8 (2.6-pick gap). That 2.6-pick gap between CBS 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 7.1 overall on consensus, and the books are tight on him — 2.6 picks between cheapest and priciest. He is latest on espn and earliest on cbs: sleeper 7.7, espn 8.1, yahoo 7.1, underdog 7.8, cbs 5.5.
At 7.1 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 21% is real and so is the 34% 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 Jonathan Taylor 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 115 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.