What the expected-points record, the coverage data and the market say he is worth at 70.5 overall.
Kyle Pitts scored 210.8 fantasy points in 2025. The volume he earned was worth 214.3. That gap of 3.5 points is the single most important thing to understand before drafting him at 70.5 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 6: snap share went up from 78.5 to 90.9, a 15.8% change, at 5.94 standard deviations. The cause was structural — the play-calling changed. He also missed Week 5.
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 12.4 points per game on 118 targets — a 60.6% 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 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 214.3 points — 12.6 per game. He scored 3.5 FEWER than that, a 1.6% shortfall.
The expected line underneath the season was 85.1 catches for 885 yards and 6.8 touchdowns — and he came in under it.
1 of his 17 games produced 25 or more points: Week 15 against TB (45.6). Strip it and the remaining 16 games average 10.3.
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. 8 games came in under 10 points, including Week 2 against MIN (7.7) and Week 3 against CAR (7.9).
The three largest overshoots — Week 15 (+23.8), Week 4 (+8.9), Week 16 (+2.4) — are the same games. The spikes were not extra volume. They were finishing.
Not one of his 5 seasons is flagged as running hot. 3 came in below what the usage justified: 2021 (-8%), 2022 (-26.8%), 2023 (-11.8%). Across all 5 he has scored 64.8 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 342 targets and four seasons, he has been a fundamentally different receiver depending on what the defence played. Against man he has caught 57.1% for 6.98 yards per target and 0.24 expected points added per target. Against zone: 66.1%, 7.7 yards, 0.11 EPA.
That is a gap of 0.13 EPA per target on a sample of 112 man targets against 230 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: 96 targets, 8.48 yards per target, 0.14 EPA. His best is Cover 1, single-high man at 0.307 on 90 targets.
The weakness is specific. Against Cover 4 quarters he has caught 64.1% for 5.79 yards a target and -0.053 EPA across 39 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 64 graded prop lines, he has gone over 50.0% of the time. On receiving yards specifically the number is 50.0% across 32 lines, beating the posted number by an average of 11.6%.
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 29.2% rate and he converted at 18.8% — a gap of -10.4 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 offence projects to 32.83 pass attempts a game at medium confidence.
The pie is stable. His slice is the question. Our share model has him at 16.9% against the 19.2% he ran, with a range of 14.5% to 18.7%.
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 Mike Gesicki 17.5% to 9.4%, Dallas Goedert 19.5% to 20.5%, Dallas Goedert 20.1% to 19.4%. Two held, one fell hard.
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 22.7% target share, 21.6% of the air yards, a WOPR of 0.49, on the field for 88% of snaps. He averaged 3.32 yards of separation against 5.53 yards of cushion, and gained 0.08 yards after the catch above expectation. He finished 2 at the position — TE1.
Vegas sets an implied total for every team every week, and some offences 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 offence 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 154.8 points, 10.2 per game across 15.2 expected games — 62.5 catches, 689 yards, 3.9 touchdowns. That is TE3, 89 overall, and 0 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.
his final top-6 adjusted-PPG finish is called explicitly misleading, heavily inflated by a single 40-point outlier game; in the twelve games his teammate (Drake London) was healthy, he was averaging only mid-tier TE2 production. His outcome is almost entirely contingent on London missing time again, which can't be planned around.
The books do not agree on him. Kyle Pitts is a consensus pick — every book within 7.7 picks of 71. That 7.7-pick gap between ESPN and Underdog is the practical thing to act on: in a Underdog-priced room he is available later than his consensus number suggests.
He goes at 70.5 overall on consensus, with a 7.7-pick spread between cheapest and priciest. He is latest on underdog and earliest on espn: sleeper 71.3, espn 66.1, yahoo 73.8, underdog 103.8, cbs 70.7.
At 70.5 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 30% 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 Kyle Pitts 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 64 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.