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Oronde Gadsden II headshot
Position: Tight endI Tier

Oronde Gadsden II

TE · LAC · Bye 7

Age 236'5"236 lbs1 yr
FFT9971

Elite Profile

Calibrated public rating

RAW 70 · 89% cov

Projection

7.0

Half-PPR / game

Market ADP

136.7

Consensus overall

FFT fair value

140.0

Calibrated pick

Draft delta

-3.3

Market minus FFT

Draft recommendation

Market is aggressive

Risk / reliability

Low Risk

80
Risk: Low

Reliability

80 / 99

Coverage

80%

Live board

Today's Read

NO MARKET DATA

catches 4.5 points more often than his 9-yard target depth predicts, and +1.45 yards after catch versus expectation. That is earned production rather than volume, and it tends to persist.

Model rank

Market

Confidence

medium

Full analysis

2026 week 2

Weekly Outlook

FFT · BDL · SLEEPER · MARKETS

Our projection

4.3

Weighted weekly consensus

BDL projection

3.3

BALLDONTLIE weekly

Sleeper projection

3.7

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 170.8 · Rostered 2.0%

BDL change -0.0%

BALLDONTLIE data checked 9/20/2026, 5:47:39 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.

Oronde Gadsden II · 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 Oronde Gadsden II yet.

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

FFT Newsroom

Latest news for Oronde Gadsden II

All reports

Position-relative

FFT99 Pillar Scores

Methodology

Target Command & Offensive Role

78

Strong

78

Top 9% at TE

Replacement + Draft Economics

91

Elite

91

Top 8% at TE

TD / High-Value Opportunity

62

Average

62

Top 31% at TE

Receiving Talent

80

Strong

80

Top 8% at TE

Offensive Ecosystem

48

Watch

48

Top 52% at TE

Fantasy Playoff Schedule

59

Average

59

Top 31% at TE

Player Profile

Target Command & Offensive Role78
Replacement + Draft Economics91
TD / High-Value Opportunity62
Receiving Talent80
Offensive Ecosystem48
Fantasy Playoff Schedule59

Games

15

Half-PPR

82.4

Total TD

3

Model Component Contributions

The measured inputs doing the most work inside this grade.

Value Over Replacement
12%
Target Share
10%
Targets Per Game
8%
First-Read Share (proxy)
8%
Hierarchy
6%
Routes
6%
YPRR (Efficiency)
5%
RZ Target Share
4%

Draft Economics

Value Over Replacement

-3.3

proj. half-PPR pts

Rank Delta

-1

position spots vs ADP

Value Grade

B

Fair Value

reachfair valuesteal

Market

136.7

FFT value

140.0

Board Δ

-3.3

Playoff Schedule

Week 15

vs SF

Rank 9th

Great

Week 16

@ MIA

Rank 4th

Elite

Week 17

vs KC

Rank 25th

Tough

FFT99 vs ADP

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

Oronde Gadsden IICONSENSUS 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.

BUYregistered 2026-08-08 · medium confidence

catches 4.5 points more often than his 9-yard target depth predicts, and +1.45 yards after catch versus expectation. That is earned production rather than volume, and it tends to persist.

Model rank

101

Market ADP

136.7

Divergence

35.8

Edge score

0.68

Every measured input behind this call

efficiencybullish

catches 4.5 points more often than his 9-yard target depth predicts, and +1.45 yards after catch versus expectation. That is earned production rather than volume, and it tends to persist.

catchResidualPts
4.5
yacOverExpected
1.45
aDOT
9

source: NFL Next Gen Stats (depth-adjusted)

usage_qualitybullish

His route-concept mix is worth 0.27 EPA per target against a 0.05 league baseline. His most common concept is quick out at 22% of targets. He is used in higher-value ways than his target count alone suggests.

conceptEpaPerTarget
0.27
leagueBaseline
0.05
delta
0.22
topConceptShare
0.22

source: FFT route concepts derived from nflverse play-by-play

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

15

PPR pts

131.4

Half-PPR pts

82.4

PPR / game

8.8

Receiving

Targets

69

Receptions

49

Rec yards

664

Rec TDs

3

Target share

12.7%

Air yards share

13.7%

WOPR

0.29

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 00-0040189). 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

136.7

Median

133.0

Sources ranking him

3/4

Agreement

Low

SourceRank / ADP
Yahoo ADP133.0
Sleeper ADP104.0
RTSports ADP173.0
Fantasy Football Calculator ADP (live)unranked

The sources that ranked him disagree by 69.0 picks between highest and lowest (standard deviation 28.3).

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

15

PPR / game

8.8

Std dev

7.3

Coeff. of variation

0.83

Boom rate

13% (2/15)

Bust rate

47% (7/15)

Best week

29.4 wk 7

Worst week

1.7 wk 14

Recent form — last 4 games with a line

7.1 PPR per game over weeks 15, 16, 17, 18-1.7 against his season average.

Every week (15 lines)
WkOppPPRTgtRecYdsCarRuYdTDRZ
3DEN9.675460002
4NYG3.632160000
5WAS2.411140000
6MIA11.887680003
7IND29.4971640012
8MIN18.755770011
9TEN11.855680001
10PIT4.363130003
11JAX6.152410000
13LV3.721270000
14PHI1.74170000
15KC10.154610000
16DAL1.71170000
17HOU12.263320013
18DEN4.322230000

The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0040189. 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 (TE: boom ≥ 15, bust ≤ 5) 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

15

RZ carries

RZ TDs

3

aDOT

9.0

Concept EPA / target

0.270

Classified targets

72

Catch residual

4.476

YAC over expected

1.45

Most-run concept: QUICK_OUT on 22.2% 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

14.4

Half-PPR (season)

101.0

PPR (season)

124.5

Confidence

high

Proj targets

65.5

Proj receptions

47.0

Proj rec yards

538

Proj rec TDs

3.9

Proj carries

0.9

Proj rush yards

2

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 0.9. 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

15 g in 2025, 4.6 tgt/g, 63% snaps (regressed to the role, not the position), TE1 on depth chart, age 23

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 00-0040189 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 canonical-name.
  • Vitals: Height, weight, college and jersey are read from nflverse and keyed on gsis id 00-0040189 — 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.