GWTTKB Research · Player Study

Should you draft Kyren Williams in 2026?

He has beaten his expected points in 2 of 4 seasons. Whether that is a skill or a countdown decides what he is worth at 32.5 overall.

Kyren Williams scored 320.6 fantasy points in 2025. The volume he earned was worth 284.5. That gap of 36.1 points is the single most important thing to understand before drafting him at 32.5 overall.

The week it changed

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 16: rushing TDs went down from 0.7 to 0, a 100% change, at 3.68 standard deviations. The cause was structural — the play-calling changed. He also missed Week 8.

Year over year the engine classifies 2025 as a breakout the underlying work does not support. 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.

What actually happened in 2025

He finished 16.03 points per game on 362 touches — down 3.8% from his 2024 rate with LA. 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 284.5 points — 14.2 per game. He scored 36.1 more than that, a 12.7% overshoot.

The expected line underneath the season was 1,322 rushing yards and 9.8 rushing touchdowns, plus 46.1 catches for 348 yards and 2.1 receiving touchdowns, and he cleared it.

Where the season actually moved

Against the expected line, he finished 1,435 rushing yards, 12 rushing touchdowns, 44 catches, 351 receiving yards, 5 receiving touchdowns — against 1,322, 9.8, 46.1, 348, 2.1 expected.

39% of the entire gain came from receiving touchdowns. He hit 238% of his expected receiving touchdowns, against 109% of his expected rushing yards and 122% of his expected rushing touchdowns and 95% of his expected catches and 101% of his expected receiving yards.

0102030401HOU2TEN3PHI4IND5SF6BAL7JAX9NO10SF11SEA12TB13CAR14ARI15DET16SEA17ATL18ARI
ExpectedBeat itMissed it
Every week of 2025, what he was worth against what he scored. Expected points come from the volume he actually earned — carries, where they started on the field, and the targets he drew out of the backfield. He cleared it in 10 of 17 games.

The season was one game

1 of his 17 games produced 25 or more points: Week 5 against SF (31.1). Strip it and the remaining 16 games average 14.5.

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 7 against JAX (8.5) and Week 12 against TB (5.8).

The three largest overshoots — Week 15 (+10.8), Week 10 (+8.8), Week 5 (+6.4) — are the same games. The spikes were not extra volume. They were finishing.

This has happened before

05101520252022LA · 47 tch2023LA · 290 tch2024LA · 396 tch2025LA · 362 tch
Expected /gActual — ran hotActual — in line
4 seasons, actual against expected. 2 of the 4 came in meaningfully above what the volume justified.

2 of his 4 seasons ran hot: 2023 (+21.4%), 2025 (+12.7%). 1 came in below what the usage justified: 2022 (-23.4%). Across all 4 he has scored 77.6 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.

There is a mechanism, and it is man coverage

COVER 245 tgt-0.0864.64 y/tCOVER 133 tgt-0.2013.58 y/tCOVER 332 tgt-0.24.94 y/tCOVER 423 tgt+0.1186.78 y/tCOVER 615 tgt-0.0815.13 y/t
What he does against each coverage, 165 targets over four seasons. Cover 1 is single-high man — the look he sees most and punishes hardest. Cover 0 and Cover 6 are the two he cannot solve.

Across 165 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 71.4% for 4.64 yards per target and 0.132 expected points added per target. Against zone: 76.4%, 5.22 yards, -0.072 EPA.

That is a gap of 0.204 EPA per target on a sample of 42 man targets against 123 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 2 is the look he has faced most: 45 targets, 4.64 yards per target, -0.086 EPA. His best is Cover 4 quarters at 0.118 on 23 targets.

The weakness is specific. Against Cover 1, single-high man he has caught 66.7% for 3.58 yards a target and -0.201 EPA across 33 looks — a gap of 0.3 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.

The market has been wrong about him in one direction

Across 124 graded prop lines, he has gone over 47.6% of the time. On rushing yards specifically the number is 61.3% across 31 lines, beating the posted number by an average of 9.8%.

A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 61% of the time on the same market is a harder thing to explain away.

Touchdowns are the control. His anytime-TD market implied a 61.0% rate and he converted at 71.0% — a gap of 10.0 points, which is worth noting.

So the risk is not efficiency. It is the touches.

the Rams returns 5 of 6 continuity slots — qb1, wr1, rb1, te1, hc — with Matthew Stafford at quarterback, Sean McVay as head coach and Nate Scheelhaase calling it. The offense projects to 33.5 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 Joe Mixon 10.8% to 13.4%, Kareem Hunt 10.5% to 9.2%, Jonathan Taylor 10% to 10.1%. All of them held their share.

The numbers that carry, and the ones that do 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: 303 carries, 62.9% of his team’s red-zone carries, 60.7% of the goal-line work, a 68.3% snap share. His carries produced 0.026 EPA per play, and he ran an 8.4% target share out of the backfield.

What we project for 2026

8.6 floor 14 ppg 20.5 ceiling bust 39% boom 47%
The 2026 range, not the point estimate. 14 is the middle. The spread from 8.6 to 20.5 is the actual bet.

Our board has him at 224.4 points, 14 per game across 16 expected games — 1,048 rushing yards, 8.8 rushing touchdowns, 30.2 catches for 210 yards. That is RB3, 25 overall, and 67 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.

What we have been saying about him

the swing factor (Blake Corum's role) is treated as genuinely uncertain, not settled either way; explicitly flagged that IF it really is a 50/50 split, the value math might favor just waiting six rounds and taking Corum directly instead of paying a round-3 price for a coin flip.

WATCH · medium conviction · 2026-08 · 3 logged takes

That is the current read. It is a change — in 2026-08 the position was SELL: Blake Corum's 2nd-half role growth was measured/real (5.1 YPC, 10.5 carries/gm in 2nd half, 3 of 5 highest-snap games in the playoffs), not just coach-speak…

It rests on these draft principles:

Where to draft him

The books do not agree on him. Kyren Williams is a board split: CBS takes him ~27, ESPN lets him slide to ~43 (15.7-pick gap). That 15.7-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 32.5 overall on consensus, and the books are far apart — 15.7 picks between cheapest and priciest, which is a real value window. He is latest on espn and earliest on cbs: sleeper 31, espn 42.5, yahoo 29.5, underdog 32.4, cbs 26.8.

He goes at 32.5 and our board has him 25. That is 7.5 picks of discount on a RB3 projection — you are getting the RB3 outcome at a price the room has set below it.

The case for: 67 points of value over a replacement starter; a 47% boom rate; 60.7% of his team’s goal-line carries, which is the most repeatable touchdown source at the position.

The case against: a 39% bust rate; 2 of 4 seasons flagged as running hot — not simply finishing above expectation, but far enough above it to classify, which is the pattern that regresses; 77.6 career points scored above expectation — real, and not something to underwrite twice.

The call: take him at his ADP and do not talk yourself out of it.

Ask the Coach about Kyren Williams 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 124 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.

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