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Position: Running backD Tier

Cam Skattebo

RB · NYG · Bye 8

Age 245'11"215 lbs1 yr
FFT9986

Elite Profile

Calibrated public rating

RAW 65 · 96% cov

Projection

12.2

Half-PPR / game

Market ADP

37.0

Consensus overall

FFT fair value

35.7

Calibrated pick

Draft delta

+1.3

Market minus FFT

Draft recommendation

Fairly priced

Risk / reliability

Medium Risk

57
Risk: Medium

Reliability

57 / 99

Coverage

80%

Live board

Today's Read

NO MARKET DATA

Measured, and nothing about him departs from what the market is already pricing.

Model rank

Market

Confidence

low

Full analysis

2026 week 2

Weekly Outlook

FFT · BDL · SLEEPER · MARKETS

Our projection

11.6

Weighted weekly consensus

BDL projection

12.0

BALLDONTLIE weekly

Sleeper projection

12.2

Sleeper weekly

Game status

Not reported

No injury description reported

Latest practice

Not reported

Game-day active

Not known

Started

Pending

Participation

Pending

Game market

Total 47.5 · Spread +6.5

Implied team total 20.5 · cross-book median

Live draft market

ADP 50.3 · Rostered 98.3%

BDL change +0.5%

rushing yards 50.5 (5 books)receiving yards 11.5 (4 books)receptions 1.5 (4 books)rushing receiving yards 64.5 (3 books)rushing attempts 13 (2 books)rushing yards 1q 10.5 (1 books)rushing yards 1h 25.5 (1 books)longest rush 13.5 (1 books)receiving yards 1h 2.5 (1 books)receiving yards 1q 0.5 (1 books)longest reception 8.5 (1 books)

BALLDONTLIE data checked 9/20/2026, 5:47:09 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.

Cam Skattebo · 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 Cam Skattebo yet.

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

FFT Newsroom

Latest news for Cam Skattebo

All reports

Position-relative

FFT99 Pillar Scores

Methodology

Opportunity / Workload

83

Strong

83

Top 7% at RB

Talent / Efficiency

66

Average

66

Top 17% at RB

Offensive Environment

52

Watch

52

Top 53% at RB

OL / Run Environment

37

Watch

37

Top 80% at RB

QB / Game-Script Fit

33

Watch

33

Top 98% at RB

Fantasy Playoff Schedule

54

Watch

54

Top 40% at RB

Player Profile

Opportunity / Workload83
Talent / Efficiency66
Offensive Environment52
OL / Run Environment37
QB / Game-Script Fit33
Fantasy Playoff Schedule54

Games

8

Half-PPR

103.7

Total TD

7

Model Component Contributions

The measured inputs doing the most work inside this grade.

Rush Share
9%
Targets Per Game
9%
Vegas
7%
Snap
6%
Inside Ten
6%
Run Tendency
6%
Route
4%
Rz Carries
4%

Draft Economics

Value Over Replacement

+16.7

proj. half-PPR pts

Rank Delta

-5

position spots vs ADP

Value Grade

C

Slight Reach

reachfair valuesteal

Market

37.0

FFT value

35.7

Board Δ

+1.3

Playoff Schedule

Week 15

vs CLE

Rank 15th

Great

Week 16

@ DET

Rank 26th

Tough

Week 17

@ DAL

Rank 6th

Elite

FFT99 vs ADP

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

Cam SkatteboCONSENSUS 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 record1 pre-registered

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

FADEregistered 2026-08-08 · low confidence

Scored 7 TDs on 27 red-zone opportunities — opportunity implies only about 4.42. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.

Model rank

86

Market ADP

37.0

Divergence

-49.1

Edge score

0.43

Every measured input behind this call

td_regressionbearish

Scored 7 TDs on 27 red-zone opportunities — opportunity implies only about 4.42. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.

priorTds
7
expectedTds
4.42
gap
-2.58
redzoneOpportunities
27

source: Sportradar red-zone opportunity + FFT finishing-rate model

Registered 2026-08-08T06:38:11.545Z against a board computed 2026-08-08T06:33:00.114Z, under fft-projection-1.0.0-beta / fft-edges-1.0.0. Scored pool 615, of which 160 carried a market price and formed the comparable pool this call is relative to. Market source: Consensus of the Yahoo, Sleeper and RTSports ADP columns in the static dataset snapshot bundled with the app at registration time — a snapshot, not a live feed. The ADP recorded on each call is the price the market was charging when the call was made.. Selection: EVERY directional verdict the board produced at boardComputedAt — all 15 BUY and 14 FADE from a scored pool of 615 players, 160 of whom carried a market price. No filtering by conviction, position or confidence, so the record cannot be flattered by selection. Witness: git commit only — see docs/methodology.md

Grading happens after the season against the pool frozen at registration. See the full record, including the misses →

2025 production

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

Games

8

PPR pts

127.7

Half-PPR pts

103.7

PPR / game

16.0

Receiving

Targets

32

Receptions

24

Rec yards

207

Rec TDs

2

Target share

6.4%

Air yards share

-0.1%

WOPR

0.09

Rushing

Carries

101

Rush yards

410

Rush TDs

5

Yards / carry

4.06

Passing

Pass yards

0

Pass TDs

0

Interceptions

0

nflverse season totals for 2025, joined on normalised name and position (gsis 00-0040715). 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

37.0

Median

39.0

Sources ranking him

3/4

Agreement

High

SourceRank / ADP
Yahoo ADP40.0
Sleeper ADP39.0
RTSports ADP32.0
Fantasy Football Calculator ADP (live)unranked

The sources that ranked him disagree by 8.0 picks between highest and lowest (standard deviation 3.6).

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

8

PPR / game

16.0

Std dev

8.1

Coeff. of variation

0.51

Boom rate

25% (2/8)

Bust rate

13% (1/8)

Best week

31.0 wk 6

Worst week

2.9 wk 1

Recent form — last 4 games with a line

18.4 PPR per game over weeks 5, 6, 7, 8+2.5 against his season average.

Every week (8 lines)
WkOppPPRTgtRecYdsCarRuYdTDRZ
1WAS2.922122-301
2DAL13.93214114516
3KC24.18661106012
4LAC13.02211257906
5NO14.47645155903
6PHI31.02212199836
7DEN18.46334166012
8PHI10.0211831211

The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0040715. 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 (RB: 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

4

RZ carries

24

RZ TDs

7

aDOT

Concept EPA / target

0.105

Classified targets

32

Catch residual

YAC over expected

Most-run concept: SCREEN on 43.8% 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

12.7

Half-PPR (season)

154.7

PPR (season)

170.1

Confidence

medium

Proj targets

39.5

Proj receptions

30.8

Proj rec yards

241

Proj rec TDs

1.6

Proj carries

158.0

Proj rush yards

684

Proj rush TDs

6.4

Proj pass yards

0

Proj pass TDs

0.0

Proj INTs

0.0

Touchdown regression

He actually scored 7 touchdowns last season. Against his measured opportunity the model expects a change of 1.0. 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

8 g in 2025, 12.6 car/g, 4 tgt/g, 52% snaps (regressed to the role, not the position), RB1 on depth chart, age 25

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 00-0040715 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 00-0040715 — 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.