Skip to main content
CeeDee Lamb headshot
Position: Wide receiverA Tier

CeeDee Lamb

WR · DAL · Bye 14

Age 276'2"198 lbs6 yr
FFT9993

Elite Profile

Calibrated public rating

RAW 79 · 100% cov

Projection

12.1

Half-PPR / game

Market ADP

11.3

Consensus overall

FFT fair value

13.0

Calibrated pick

Draft delta

-1.7

Market minus FFT

Draft recommendation

Fairly priced

Risk / reliability

Medium Risk

74
Risk: Medium

Reliability

74 / 99

Coverage

80%

Live board

Today's Read

NO MARKET DATA

Scored 3 TDs on 17 red-zone opportunities — opportunity implies about 5.4. Finishing that far below expectation tends to regress upward, and the market is still pricing the 3.

Model rank

Market

Confidence

high

Full analysis

2026 week 2

Weekly Outlook

FFT · BDL · SLEEPER · MARKETS

Our projection

14.2

Weighted weekly consensus

BDL projection

14.9

BALLDONTLIE weekly

Sleeper projection

14.9

Sleeper weekly

Game status

Not reported

No injury description reported

Latest practice

Not reported

Game-day active

Active

Started

Pending

Participation

Pending

Game market

Total · Spread

Implied team total · cross-book median

Live draft market

ADP 13.1 · Rostered 99.9%

BDL change -0.2%

BALLDONTLIE data checked 9/20/2026, 6:34:05 PM ET. Sportsbook values are consensus context, not betting advice.

Measured 2026 · Regular season

Season Production

Loading 2026 results…

Actual BALLDONTLIE box scores · FFT-computed fantasy points · Preseason excluded. Missing stats are not zeroes.

2026 / Player Game Center

Every play has a story.

CeeDee Lamb · Recorded performance, game context, fantasy takeaways.

Loading game data…

Measured game log

Weekly Performance

Actual BALLDONTLIE box scores · FFT-computed fantasy points. Missing weeks are never filled with zeroes.

No 2026 regular-season stat line recorded for CeeDee Lamb yet.

This view will populate automatically when measured games enter the data spine.

FFT Newsroom

Latest news for CeeDee Lamb

All reports

Position-relative

FFT99 Pillar Scores

Methodology

Opportunity

85

Elite

85

Top 7% at WR

Talent

89

Elite

89

Top 1% at WR

Offensive Environment

67

Average

67

Top 25% at WR

QB Play

71

Strong

71

Top 18% at WR

Fantasy Playoff Schedule

63

Average

63

Top 22% at WR

Player Profile

Opportunity85
Talent89
Offensive Environment67
QB Play71
Fantasy Playoff Schedule63

Games

13

Half-PPR

125.9

Total TD

3

Model Component Contributions

The measured inputs doing the most work inside this grade.

Target Share
11%
YPRR (Efficiency)
9%
Targets Per Game
7%
First-Read Share (proxy)
7%
Vegas
7%
TPRR
7%
Play Caller
6%
Age Prod
5%

Draft Economics

Value Over Replacement

+40.3

proj. half-PPR pts

Rank Delta

-7

position spots vs ADP

Value Grade

C

Slight Reach

reachfair valuesteal

Market

11.3

FFT value

13.0

Board Δ

-1.7

Playoff Schedule

Week 15

@ LAR

Rank 13th

Great

Week 16

vs JAX

Rank 16th

Great

Week 17

vs NYG

Rank 9th

Great

FFT99 vs ADP

Every dot is a real position peer with a market price.

CeeDee LambCONSENSUS ADP →FFT99 →

Deep research dossier

Evidence, history and model transparency

The decision dashboard ends above. Open only the research sections you need below—the full evidence remains available without overwhelming the player overview.

The call record

Claims written down before the season, sealed at registration, and graded in public — misses kept.

No pre-registered call was made on CeeDee Lamb. The record holds 29 calls in total, selected from the board by signal strength and divergence — most players do not clear that bar, and silence here means we did not stake a claim on him, not that he graded badly.

2025 production

What he actually did last season. Measured, not projected.

Games

13

PPR pts

200.9

Half-PPR pts

125.9

PPR / game

15.5

Receiving

Targets

117

Receptions

75

Rec yards

1077

Rec TDs

3

Target share

19.3%

Air yards share

27.7%

WOPR

0.48

Rushing

Carries

1

Rush yards

2

Rush TDs

0

Yards / carry

2.00

Passing

Pass yards

0

Pass TDs

0

Interceptions

0

nflverse season totals for 2025, joined on normalised name and position (gsis 00-0036358). These are actuals — nothing here is modelled.

What the market says

Every ADP source we hold, side by side, and where our model sits against them.

Consensus ADP

11.3

Median

10.0

Sources ranking him

3/4

Agreement

High

SourceRank / ADP
Yahoo ADP9.0
Sleeper ADP10.0
RTSports ADP15.0
Fantasy Football Calculator ADP (live)unranked

The sources that ranked him disagree by 6.0 picks between highest and lowest (standard deviation 2.6).

Mean and median are computed across the sources that actually ranked him — an unranked source never enters the average, because a sentinel treated as a pick number would drag a real player hundreds of slots. Spread, deviation and agreement are null under two ranked sources rather than 0, since one source cannot agree with itself. The FFT model rank is our own output and is never folded in as if it were an outside source.

Week-to-week, 2025

Consistency and range — the part a season total hides.

Weeks with a line

13

PPR / game

15.4

Std dev

5.8

Coeff. of variation

0.37

Boom rate

23% (3/13)

Bust rate

8% (1/13)

Best week

24.2 wk 13

Worst week

1.4 wk 18

Recent form — last 4 games with a line

9.8 PPR per game over weeks 15, 16, 17, 18-5.7 against his season average.

Every week (13 lines)
WkOppPPRTgtRecYdsCarRuYdTDRZ
1PHI18.01371100000
2NYG20.21191120001
7WAS22.0851100010
8DEN14.6107741203
9ARI15.5127850001
11LV17.675660013
12PHI11.5114750002
13KC24.2971120012
14DET18.1861210001
15MIN17.11061110002
16LAC11.176510002
17WAS9.6105460000
18NYG1.41140000

The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0036358. Everything derived from them above — per-game, standard deviation, coefficient of variation, boom and bust rates, recent form — is computed by us and carries the FFT model (beta) label. It is not an observed stat.

This whole block is on the PPR scale, including the thresholds — the artifact publishes boom and bust in PPR (WR: boom ≥ 20, bust ≤ 8) and converting only the points would leave the rates measured against a different ruler than the one they were defined on. The hero above is half-PPR because that is what the model ranks on. Two rulers, each labelled, rather than one silently mixed. Rates need at least 4 games to carry weight; recent form is the last 4.

Advanced usage & efficiency

Route concepts, red-zone opportunity, and separation-adjusted catch rate.

Red-zone opportunity

Scoring upside

RZ targets

17

RZ carries

RZ TDs

2

aDOT

12.3

Concept EPA / target

0.248

Classified targets

117

Catch residual

3.015

YAC over expected

0.42

Most-run concept: QUICK_OUT on 25.6% of his classified targets.

Every field is derived by FFT from openly-licensed nflverse play-by-play, or taken from the free public NFL Next Gen Stats endpoint. No licensed trial data (Sportradar, BALLDONTLIE) is included, which is why this file can be committed and shipped with the build. Red zone: Plays snapped inside the opponent 20-yard line. Red-zone usage measures opportunity; this repo’s own backtest shows it adds little on top of plain volume, so it is retained as context and is deliberately not described as an edge.

How the model gets there

The component projection behind the headline number, and what it was built from.

Projected games

13.3

Half-PPR (season)

160.6

PPR (season)

195.9

Confidence

high

Proj targets

110.0

Proj receptions

70.6

Proj rec yards

906

Proj rec TDs

5.4

Proj carries

3.4

Proj rush yards

18

Proj rush TDs

0.1

Proj pass yards

0

Proj pass TDs

0.0

Proj INTs

0.0

Touchdown regression

He actually scored 3 touchdowns last season. Against his measured opportunity the model expects a change of 2.5. The gap between what a player scored and what his opportunity implies is one of the four signals the edge engine reads.

What this projection was built from

13 g in 2025, 9 tgt/g, 73% snaps (regressed to the role, not the position), LWR1 on depth chart, age 27, +2.5 TD vs 2025 on red-zone opportunity

fft-projection-2.3.0-beta. The model reads measured production, opportunity and age, and reads no ADP field at any stage — so it can disagree with the market, which is the only reason a disagreement is worth anything. Draft capital was not resolved for this player, which the model treats as unknown rather than as undrafted.

What this page is standing on

Which sources answered for this player, and which did not.

  • Identity join: Resolved to gsis 00-0036358 via the 2025 nflverse season file. The weekly log and advanced splits are keyed on that id.
  • Market ADP: A bundled snapshot of platform ADP, not a live feed. Shown for comparison and never read by the projection model.
  • Headshot: Resolved from exact-name.
  • Vitals: Height, weight, college and jersey are read from nflverse and keyed on gsis id 00-0036358 — not on name. Name keying matches players to relatives who share one: "Marvin Harrison Jr." also matches his father's 1996 row, and whichever came first in the file would win.
  • Not shown: draft round and pick. The bundled player file carries them on roughly 48% of rows and populates them late, so a blank is equally consistent with a genuine undrafted free agent and with a first-rounder nobody has ingested yet. The model’s own three-state read is used instead, above.

Model run caveats

  • No usable red-zone RECEIVING fit for QB — receiving touchdowns at that position come from the shrunk per-target rate alone.
  • Rookie draft capital on this run: 82 drafted (projected from round/pick), 141 confirmed undrafted, 177 with capital UNKNOWN.
  • 177 of 400 rookie projections (44%) have NO KNOWN DRAFT CAPITAL because this draft class has not been ingested by any source the model can read. For those players the draft-capital path did not run: a first-round pick and a camp arm receive the same number, separated only by depth-chart order. Those projections are flagged `isPositionalFloor` and must be read as a floor for the role, not as a valuation of the player.

How the model works

Inputs, method, and the forbidden-inputs list. It reads no ADP at any stage.

Where it loses

Pre-registered calls, graded in public, misses kept on the page.

Model Rankings

Every player, with the model's BUY / FADE call against consensus ADP built into the board.