GWTTKB Research · Player Study

Should you draft Alec Pierce 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 82.5 overall.

Alec Pierce scored 183.3 fantasy points in 2025. The volume he earned was worth 143.4. That gap of 39.9 points is the single most important thing to understand before drafting him at 82.5 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 10: receiving TDs went up from 0 to 0.8, at 2.39 standard deviations. The cause was structural — no single cause separated cleanly. He also missed Weeks 4, 5, 11.

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.

What actually happened in 2025

He finished 12.22 points per game on 84 targets — a 21.1% 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 143.4 points — 9.6 per game. He scored 39.9 more than that, a 27.8% overshoot.

The expected line underneath the season was 52.2 catches for 661 yards and 4.2 touchdowns, and he cleared it.

The miss was receiving yards, and almost nothing else

The expected line was 52.2 catches for 661 yards and 4.2 touchdowns. He finished with 47, 1003 and 6.

68% of the entire gain came from receiving yards alone. He hit 90% of his expected catches and 143% of his expected touchdowns — and 152% of his expected receiving yards.

01020301MIA2DEN3TEN6ARI7LAC8TEN9PIT10ATL12KC13HOU14JAX15SEA16SF17JAX18HOU
ExpectedBeat itMissed it
Every week of 2025, what he was worth against what he scored. Expected points come from the volume he actually earned — targets, air yards, and where on the field they came. He cleared it in 9 of 15 games.

The season was one game

1 of his 15 games produced 25 or more points: Week 18 against HOU (29.2). Strip it and the remaining 14 games average 11.

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. 6 games came in under 10 points, including Week 1 against MIA (4.6) and Week 6 against ARI (6.8).

The three largest overshoots — Week 16 (+17.8), Week 18 (+17.2), Week 13 (+9.3) — are the same games. The spikes were not extra volume. They were finishing.

This has happened before

0510152022IND · 78 tgt2023IND · 65 tgt2024IND · 69 tgt2025IND · 84 tgt
Expected /gActual — ran hotActual — in line
Four seasons, actual against expected. Two of the four came in meaningfully above what the volume justified.

Not one of his 4 seasons is flagged as running hot. 2 came in below what the usage justified: 2022 (-15.8%), 2023 (-14.6%). Across all 4 he has scored 41.7 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 zone coverage

COVER 1112 tgt+0.2698.66 y/tCOVER 376 tgt+0.3549.05 y/tCOVER 434 tgt+0.87813.09 y/tCOVER 232 tgt+0.68212.81 y/tCOVER 623 tgt+0.4859.87 y/t
What he does against each coverage, 296 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 296 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 46.8% for 9.04 yards per target and 0.326 expected points added per target. Against zone: 57.6%, 10.56 yards, 0.539 EPA.

That is a gap of -0.212 EPA per target on a sample of 126 man targets against 170 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: 112 targets, 8.66 yards per target, 0.269 EPA. His best is Cover 4 quarters at 0.878 on 34 targets.

The weakness is specific. Against Cover 1, single-high man he has caught 45.5% for 8.66 yards a target and 0.269 EPA across 112 looks — a gap of 0.6 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 58 graded prop lines, he has gone over 63.8% of the time. On receiving yards specifically the number is 72.4% across 29 lines, beating the posted number by an average of 91%.

A projection model can be wrong about conversion. A book adjusting weekly, with money on the other side, being wrong 72% of the time on the same market is a harder thing to explain away.

Touchdowns are the control. His anytime-TD market implied a 22.5% rate and he converted at 34.5% — a gap of 12.0 points, which is worth noting.

So the risk is not efficiency. It is targets.

Josh Downs20.1%Tyler Warren19.1%Alec Pierce17%Jonathan Taylor10.1%Nick Westbrook-Ikhine10%
Projected 2026 target share. Pale bar is the p10–p90 range. Built from comparable receivers at the same age, share and offensive continuity — not from a depth chart.

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 17% against the 15.8% he ran, with a range of 15.6% to 19.8%.

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 George Pickens 16% to 24.2%, Michael Gallup 19.7% to 16.8%, Marquez Valdes-Scantling 15.6% to 14.9%. Two held, one fell hard.

The numbers that carry, and the ones that do 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 17.6% target share, 40.6% of the air yards, a WOPR of 0.55, on the field for 85.9% of snaps. He averaged 2.67 yards of separation against 5.1 yards of cushion, and gained 2.98 yards after the catch above expectation. He finished 34 at the position — WR3.

The offence he plays in

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.

What we project for 2026

7.7 floor 10.4 ppg 15.6 ceiling bust 26% boom 50%
The 2026 range, not the point estimate. 10.4 is the middle. The spread from 7.7 to 15.6 is the actual bet.

Our board has him at 169.9 points, 10.4 per game across 16.4 expected games — 55.1 catches, 884 yards, 4.4 touchdowns. That is WR5, 84 overall, and 13 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

a genuinely extreme, unsustainable efficiency level on very low volume the past two seasons (20+ yards/catch each year) that will almost certainly come down in raw rate even as the team pays him like they expect a much larger role. Recovering from foot surgery adds real uncertainty about both his health and how much practice-rep chemistry he'll have built with the QB by Week 1.

WATCH · medium conviction · 2026-08 · 2 logged takes

That is the current read. It is a change — in 2026-08 the position was SELL: same contract-≠-volume logic as Watson, coming off foot/ankle surgery (could miss much of camp), stepping into an ENLARGED role with zero practice reps (unlike an incumbent returning to a known role),…

Where to draft him

The books do not agree on him. Alec Pierce is a board split: CBS takes him ~66, ESPN lets him slide to ~98 (31.7-pick gap). That 31.7-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 82.5 overall on consensus, and the books are far apart — 31.7 picks between cheapest and priciest, which is a real value window. He is latest on espn and earliest on cbs: sleeper 83.6, espn 97.6, yahoo 83, underdog 83, cbs 65.9.

At 82.5 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 26% is real and so is the 50% 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 Alec Pierce 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 58 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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