Live board
Today's Read
Scored 11 TDs on 16 red-zone opportunities — opportunity implies only about 5. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.
Model rank
Market
—
Confidence
high
TE · PHI · Bye 10
Elite Profile
Calibrated public rating
Projection
7.8
Half-PPR / game
Market ADP
120.7
Consensus overall
FFT fair value
117.0
Calibrated pick
Draft delta
+3.7
Market minus FFT
Draft recommendation
Target ahead of market
Risk / reliability
Medium Risk
Reliability
74 / 99
Coverage
80%
Live board
Scored 11 TDs on 16 red-zone opportunities — opportunity implies only about 5. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.
Model rank
Market
—
Confidence
high
2026 week 2
Our projection
8.3
Weighted weekly consensus
BDL projection
8.6
BALLDONTLIE weekly
Sleeper projection
8.3
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 107.4 · Rostered 93.0%
BDL change +0.8%
BALLDONTLIE data checked 9/20/2026, 6:44:25 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
Dallas Goedert · 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 Dallas Goedert yet.
This view will populate automatically when measured games enter the data spine.
FFT Newsroom
Position-relative
Target Command & Offensive Role
83
Strong
Top 6% at TE
Replacement + Draft Economics
93
Elite
Top 6% at TE
TD / High-Value Opportunity
74
Strong
Top 10% at TE
Receiving Talent
65
Average
Top 25% at TE
Offensive Ecosystem
62
Average
Top 26% at TE
Fantasy Playoff Schedule
59
Average
Top 31% at TE
Games
15
Half-PPR
125.1
Total TD
11
The measured inputs doing the most work inside this grade.
Value Over Replacement
-2.0
proj. half-PPR pts
Rank Delta
-4
position spots vs ADP
Value Grade
C
Slight Reach
Market
120.7
FFT value
117.0
Board Δ
+3.7
Week 15
vs SEA
Rank 11th
GreatWeek 16
vs HOU
Rank 21st
NeutralWeek 17
@ SF
Rank 9th
GreatEvery 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 Dallas Goedert. 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
15
PPR pts
185.1
Half-PPR pts
125.1
PPR / game
12.3
Receiving
Targets
82
Receptions
60
Rec yards
591
Rec TDs
11
Target share
17.7%
Air yards share
13.0%
WOPR
0.36
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 00-0034351). These are actuals — nothing here is modelled.
Every ADP source we hold, side by side, and where our model sits against them.
Consensus ADP
120.7
Median
118.0
Sources ranking him
3/4
Agreement
Medium
| Source | Rank / ADP |
|---|---|
| Yahoo ADP | 106.0 |
| Sleeper ADP | 118.0 |
| RTSports ADP | 138.0 |
| Fantasy Football Calculator ADP (live) | unranked |
The sources that ranked him disagree by 32.0 picks between highest and lowest (standard deviation 13.2).
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
15
PPR / game
12.3
Std dev
6.9
Coeff. of variation
0.56
Boom rate
33% (5/15)
Bust rate
27% (4/15)
Best week
26.0 wk 6
Worst week
4.0 wk 12
Recent form — last 4 games with a line
15.7 PPR per game over weeks 14, 15, 16, 17 — +3.4 against his season average.
| Wk | Opp | PPR | Tgt | Rec | Yds | Car | RuYd | TD | RZ |
|---|---|---|---|---|---|---|---|---|---|
| 1 | DAL | 11.4 | 7 | 7 | 44 | 0 | 0 | 0 | 0 |
| 3 | LA | 10.3 | 2 | 1 | 33 | 0 | 0 | 1 | 0 |
| 4 | TB | 19.7 | 4 | 4 | 37 | 0 | 0 | 2 | 2 |
| 5 | DEN | 10.9 | 9 | 3 | 19 | 0 | 0 | 1 | 1 |
| 6 | NYG | 26.0 | 11 | 9 | 110 | 0 | 0 | 1 | 2 |
| 7 | MIN | 4.8 | 3 | 3 | 18 | 0 | 0 | 0 | 0 |
| 8 | NYG | 17.8 | 3 | 3 | 28 | 0 | 0 | 2 | 2 |
| 10 | GB | 8.3 | 6 | 4 | 43 | 0 | 0 | 0 | 0 |
| 11 | DET | 4.4 | 5 | 2 | 24 | 0 | 0 | 0 | 0 |
| 12 | DAL | 4.0 | 2 | 2 | 20 | 0 | 0 | 0 | 0 |
| 13 | CHI | 4.7 | 4 | 2 | 27 | 0 | 0 | 0 | 0 |
| 14 | LAC | 15.8 | 10 | 8 | 78 | 0 | 0 | 0 | 1 |
| 15 | LV | 25.0 | 7 | 6 | 70 | 0 | 0 | 2 | 3 |
| 16 | WAS | 12.2 | 3 | 3 | 32 | 0 | 0 | 1 | 1 |
| 17 | BUF | 9.8 | 6 | 3 | 8 | 0 | 0 | 1 | 3 |
The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0034351. 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.
Route concepts, red-zone opportunity, and separation-adjusted catch rate.
RZ targets
17
RZ carries
1
RZ TDs
12
aDOT
7.1
Concept EPA / target
0.426
Classified targets
89
Catch residual
3.520
YAC over expected
0.16
Most-run concept: QUICK_OUT on 36.0% 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
13.2
Half-PPR (season)
102.3
PPR (season)
127.2
Confidence
high
Proj targets
67.5
Proj receptions
49.8
Proj rec yards
511
Proj rec TDs
4.4
Proj carries
0.7
Proj rush yards
2
Proj rush TDs
0.0
Proj pass yards
0
Proj pass TDs
0.0
Proj INTs
0.0
Touchdown regression
He actually scored 11 touchdowns last season. Against his measured opportunity the model expects a change of -6.6. 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
15 g in 2025, 5.5 tgt/g, 85% snaps (regressed to the role, not the position), TE1 on depth chart, age 32, -6.6 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.
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.