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Rome Odunze headshot
Position: Wide receiverE Tier

Rome Odunze

WR · CHI · Bye 10

Age 246'3"215 lbs2 yr
FFT9981

Elite Profile

Calibrated public rating

RAW 69 · 100% cov

Projection

9.6

Half-PPR / game

Market ADP

64.7

Consensus overall

FFT fair value

59.8

Calibrated pick

Draft delta

+4.9

Market minus FFT

Draft recommendation

Target ahead of market

Risk / reliability

Medium Risk

72
Risk: Medium

Reliability

72 / 99

Coverage

80%

Live board

Today's Read

NO MARKET DATA

His route-concept mix is worth 0.26 EPA per target against a 0.05 league baseline. His most common concept is quick out at 26% of targets. He is used in higher-value ways than his target count alone suggests.

Model rank

Market

Confidence

high

Full analysis

2026 week 2

Weekly Outlook

FFT · BDL · SLEEPER · MARKETS

Our projection

9.3

Weighted weekly consensus

BDL projection

10.2

BALLDONTLIE weekly

Sleeper projection

8.2

Sleeper weekly

Game status

Not reported

No injury description reported

Latest practice

limited

Game-day active

Active

Started

Yes

Participation

Played

Game market

Total · Spread

Implied team total · cross-book median

Live draft market

ADP 87.1 · Rostered 93.7%

BDL change +0.2%

BALLDONTLIE data checked 9/20/2026, 5:47:12 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.

Rome Odunze · 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 Rome Odunze yet.

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

FFT Newsroom

Latest news for Rome Odunze

All reports

Position-relative

FFT99 Pillar Scores

Methodology

Opportunity

86

Elite

86

Top 6% at WR

Talent

75

Strong

75

Top 15% at WR

Offensive Environment

52

Watch

52

Top 52% at WR

QB Play

48

Watch

48

Top 61% at WR

Fantasy Playoff Schedule

57

Average

57

Top 33% at WR

Player Profile

Opportunity86
Talent75
Offensive Environment52
QB Play48
Fantasy Playoff Schedule57

Games

12

Half-PPR

102.1

Total TD

6

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

+12.2

proj. half-PPR pts

Rank Delta

+5

position spots vs ADP

Value Grade

B+

Good Value

reachfair valuesteal

Market

64.7

FFT value

59.8

Board Δ

+4.9

Playoff Schedule

Week 15

@ BUF

Rank 28th

Tough

Week 16

vs GB

Rank 15th

Great

Week 17

vs DET

Rank 5th

Elite

FFT99 vs ADP

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

Rome OdunzeCONSENSUS 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 Rome Odunze. 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

12

PPR pts

146.1

Half-PPR pts

102.1

PPR / game

12.2

Receiving

Targets

90

Receptions

44

Rec yards

661

Rec TDs

6

Target share

16.9%

Air yards share

25.3%

WOPR

0.43

Rushing

Carries

0

Rush yards

0

Rush TDs

0

Yards / carry

Passing

Pass yards

0

Pass TDs

0

Interceptions

0

nflverse season totals for 2025, joined on normalised name and position (gsis 00-0039919). 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

64.7

Median

64.0

Sources ranking him

3/4

Agreement

High

SourceRank / ADP
Yahoo ADP68.0
Sleeper ADP62.0
RTSports ADP64.0
Fantasy Football Calculator ADP (live)unranked

The sources that ranked him disagree by 6.0 picks between highest and lowest (standard deviation 2.5).

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

12

PPR / game

12.2

Std dev

8.8

Coeff. of variation

0.72

Boom rate

17% (2/12)

Bust rate

42% (5/12)

Best week

31.8 wk 2

Worst week

0.0 wk 9

Recent form — last 4 games with a line

9.4 PPR per game over weeks 10, 11, 12, 13-2.7 against his season average.

Every week (12 lines)
WkOppPPRTgtRecYdsCarRuYdTDRZ
1MIN15.796370011
2DET31.81171280022
3DAL15.273620011
4LV16.984690012
6WAS5.252320000
7NO5.162310000
8BAL18.41071140001
9CIN0.03000001
10NYG20.6106860012
11MIN6.162410001
12PIT8.393530000
13PHI2.86280001

The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0039919. 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

14

RZ carries

RZ TDs

3

aDOT

14.1

Concept EPA / target

0.261

Classified targets

102

Catch residual

-9.223

YAC over expected

1.00

Most-run concept: QUICK_OUT on 26.5% 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

13.8

Half-PPR (season)

132.5

PPR (season)

159.3

Confidence

high

Proj targets

97.3

Proj receptions

53.7

Proj rec yards

748

Proj rec TDs

5.0

Proj carries

1.7

Proj rush yards

9

Proj rush TDs

0.1

Proj pass yards

0

Proj pass TDs

0.0

Proj INTs

0.0

Touchdown regression

He actually scored 6 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

12 g in 2025, 7.5 tgt/g, 88% snaps (regressed to the role, not the position), LWR1 on depth chart, age 24

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 00-0039919 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 00-0039919 — 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.