Live board
Today's Read
catches 4.5 points less often than his 14.39-yard target depth predicts, and +0.6 yards after catch versus expectation. That is earned production rather than volume, and it tends to persist.
Model rank
Market
—
Confidence
low
WR · MIN · Bye 6
Elite Profile
Calibrated public rating
Projection
8.6
Half-PPR / game
Market ADP
111.7
Consensus overall
FFT fair value
94.6
Calibrated pick
Draft delta
+17.0
Market minus FFT
Draft recommendation
Target ahead of market
Risk / reliability
Medium Risk
Reliability
72 / 99
Coverage
80%
Live board
catches 4.5 points less often than his 14.39-yard target depth predicts, and +0.6 yards after catch versus expectation. That is earned production rather than volume, and it tends to persist.
Model rank
Market
—
Confidence
low
2026 week 2
Our projection
8.9
Weighted weekly consensus
BDL projection
8.8
BALLDONTLIE weekly
Sleeper projection
9.2
Sleeper weekly
Game status
Not reported
No injury description reported
Latest practice
Not reported
Game-day active
Active
Started
Yes
Participation
Played
Game market
Total — · Spread —
Implied team total — · cross-book median
Live draft market
ADP 140.5 · Rostered 75.0%
BDL change -0.3%
BALLDONTLIE data checked 9/20/2026, 5:45:43 PM ET. Sportsbook values are consensus context, not betting advice.
Measured 2026 · Regular season
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Actual BALLDONTLIE box scores · FFT-computed fantasy points · Preseason excluded. Missing stats are not zeroes.
2026 / Player Game Center
Jordan Addison · Recorded performance, game context, fantasy takeaways.
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Measured game log
Actual BALLDONTLIE box scores · FFT-computed fantasy points. Missing weeks are never filled with zeroes.
No 2026 regular-season stat line recorded for Jordan Addison yet.
This view will populate automatically when measured games enter the data spine.
FFT Newsroom
Position-relative
Opportunity
86
Elite
Top 6% at WR
Talent
63
Average
Top 31% at WR
Offensive Environment
47
Watch
Top 57% at WR
QB Play
29
Watch
Top 88% at WR
Fantasy Playoff Schedule
68
Average
Top 13% at WR
Games
14
Half-PPR
93.1
Total TD
4
The measured inputs doing the most work inside this grade.
Value Over Replacement
+2.1
proj. half-PPR pts
Rank Delta
+14
position spots vs ADP
Value Grade
A
Great Value
Market
111.7
FFT value
94.6
Board Δ
+17.0
Week 15
vs DET
Rank 5th
EliteWeek 16
vs WAS
Rank 8th
EliteWeek 17
@ NYJ
Rank 17th
NeutralEvery dot is a real position peer with a market price.
Deep research dossier
The decision dashboard ends above. Open only the research sections you need below—the full evidence remains available without overwhelming the player overview.
Claims written down before the season, sealed at registration, and graded in public — misses kept.
No pre-registered call was made on Jordan Addison. 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.
What he actually did last season. Measured, not projected.
Games
14
PPR pts
135.1
Half-PPR pts
93.1
PPR / game
9.7
Receiving
Targets
79
Receptions
42
Rec yards
610
Rec TDs
3
Target share
16.9%
Air yards share
28.8%
WOPR
0.45
Rushing
Carries
2
Rush yards
81
Rush TDs
1
Yards / carry
40.50
Passing
Pass yards
0
Pass TDs
0
Interceptions
0
nflverse season totals for 2025, joined on normalised name and position (gsis 00-0038994). These are actuals — nothing here is modelled.
Every ADP source we hold, side by side, and where our model sits against them.
Consensus ADP
111.7
Median
112.0
Sources ranking him
3/4
Agreement
Medium
| Source | Rank / ADP |
|---|---|
| Yahoo ADP | 123.0 |
| Sleeper ADP | 100.0 |
| RTSports ADP | 112.0 |
| Fantasy Football Calculator ADP (live) | unranked |
The sources that ranked him disagree by 23.0 picks between highest and lowest (standard deviation 9.4).
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.
Consistency and range — the part a season total hides.
Weeks with a line
14
PPR / game
9.7
Std dev
5.5
Coeff. of variation
0.57
Boom rate
7% (1/14)
Bust rate
29% (4/14)
Best week
21.8 wk 7
Worst week
0.0 wk 12
Recent form — last 4 games with a line
6.9 PPR per game over weeks 15, 16, 17, 18 — -2.8 against his season average.
| Wk | Opp | PPR | Tgt | Rec | Yds | Car | RuYd | TD | RZ |
|---|---|---|---|---|---|---|---|---|---|
| 4 | PIT | 15.4 | 8 | 4 | 114 | 0 | 0 | 0 | 0 |
| 5 | CLE | 15.1 | 6 | 5 | 41 | 0 | 0 | 1 | 2 |
| 7 | PHI | 21.8 | 12 | 9 | 128 | 0 | 0 | 0 | 4 |
| 8 | LAC | 11.6 | 4 | 3 | 26 | 0 | 0 | 1 | 1 |
| 9 | DET | 8.4 | 4 | 2 | 48 | 1 | 16 | 0 | 0 |
| 10 | BAL | 6.5 | 11 | 3 | 35 | 0 | 0 | 0 | 2 |
| 11 | CHI | 10.0 | 7 | 2 | 20 | 0 | 0 | 1 | 1 |
| 12 | GB | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | SEA | 8.6 | 10 | 5 | 36 | 0 | 0 | 0 | 1 |
| 14 | WAS | 10.2 | 7 | 4 | 62 | 0 | 0 | 0 | 1 |
| 15 | DAL | 8.6 | 2 | 2 | 66 | 0 | 0 | 0 | 0 |
| 16 | NYG | 4.6 | 3 | 2 | 26 | 0 | 0 | 0 | 0 |
| 17 | DET | 12.5 | 1 | 0 | 0 | 1 | 65 | 1 | 0 |
| 18 | GB | 1.8 | 3 | 1 | 8 | 0 | 0 | 0 | 1 |
The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0038994. 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.
Route concepts, red-zone opportunity, and separation-adjusted catch rate.
RZ targets
13
RZ carries
—
RZ TDs
3
aDOT
14.4
Concept EPA / target
0.177
Classified targets
79
Catch residual
-4.504
YAC over expected
0.60
Most-run concept: QUICK_OUT on 26.6% 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.
The component projection behind the headline number, and what it was built from.
Projected games
14.2
Half-PPR (season)
122.4
PPR (season)
147.8
Confidence
medium
Proj targets
85.6
Proj receptions
50.8
Proj rec yards
684
Proj rec TDs
4.5
Proj carries
2.2
Proj rush yards
12
Proj rush TDs
0.1
Proj pass yards
0
Proj pass TDs
0.0
Proj INTs
0.0
Touchdown regression
He actually scored 4 touchdowns last season. Against his measured opportunity the model expects a change of 0.6. 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
14 g in 2025, 5.6 tgt/g, 85% snaps (regressed to the role, not the position), RWR2 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.
Which sources answered for this player, and which did not.
Model run caveats
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.