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Scored 12 TDs on 53 red-zone opportunities — opportunity implies only about 6.22. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.
Model rank
Market
—
Confidence
low
Position: Running backG Tier
Zach Charbonnet
RB · SEA · Bye 11
Age 256'1"220 lbs3 yr
FFT9975
Elite Profile
Calibrated public rating
RAW 67 · 96% cov
Projection
7.0
Half-PPR / game
Market ADP
134.3
Consensus overall
FFT fair value
111.3
Calibrated pick
Draft delta
+23.1
Market minus FFT
Draft recommendation
Target ahead of market
Risk / reliability
Medium Risk
61
Reliability
61 / 99
Coverage
80%
2026 week 2
Weekly Outlook
Our projection
0.0
Weighted weekly consensus
BDL projection
—
BALLDONTLIE weekly
Sleeper projection
—
Sleeper weekly
Game status
PUP-R
No injury description reported
Game market
Total — · Spread —
Implied team total — · cross-book median
Live draft market
ADP 163.7 · Rostered 51.9%
BDL change -0.2%
BALLDONTLIE data checked 9/20/2026, 5:46:14 PM ET. Sportsbook values are consensus context, not betting advice.
Measured 2026 · Regular season
Season Production
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Actual BALLDONTLIE box scores · FFT-computed fantasy points · Preseason excluded. Missing stats are not zeroes.
2026 / Player Game Center
Every play has a story.
Zach Charbonnet · Recorded performance, game context, fantasy takeaways.
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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 Zach Charbonnet yet.
This view will populate automatically when measured games enter the data spine.
FFT Newsroom
Latest news for Zach Charbonnet
Position-relative
FFT99 Pillar Scores
Opportunity / Workload
72
Strong
72
Top 19% at RB
Talent / Efficiency
59
Average
59
Top 31% at RB
Offensive Environment
76
Strong
76
Top 19% at RB
OL / Run Environment
44
Watch
44
Top 65% at RB
QB / Game-Script Fit
77
Strong
77
Top 19% at RB
Fantasy Playoff Schedule
59
Average
59
Top 25% at RB
Player Profile
Opportunity / Workload72
Talent / Efficiency59
Offensive Environment76
OL / Run Environment44
QB / Game-Script Fit77
Fantasy Playoff Schedule59
Games
16
Half-PPR
161.4
Total TD
12
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
-87.9
proj. half-PPR pts
Rank Delta
-32
position spots vs ADP
Value Grade
D
Reach
reachfair valuesteal
Market
134.3
FFT value
111.3
Board Δ
+23.1
Playoff Schedule
Week 15
@ PHI
Rank 13th
GreatWeek 16
vs LAR
Rank 21st
NeutralWeek 17
@ CAR
Rank 8th
EliteFFT99 vs ADP
Every dot is a real position peer with a market price.
Compare Players
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.
The call record1 pre-registered
Claims written down before the season, sealed at registration, and graded in public — misses kept.
Scored 12 TDs on 53 red-zone opportunities — opportunity implies only about 8.18. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.
Model rank
157
Market ADP
134.3
Divergence
-22.8
Edge score
0.64
Every measured input behind this call
td_regressionbearish
Scored 12 TDs on 53 red-zone opportunities — opportunity implies only about 8.18. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.
- priorTds
- 12
- expectedTds
- 8.18
- gap
- -3.82
- redzoneOpportunities
- 53
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.
2025 production
What he actually did last season. Measured, not projected.
Games
16
PPR pts
181.4
Half-PPR pts
161.4
PPR / game
11.3
Receiving
Targets
24
Receptions
20
Rec yards
144
Rec TDs
0
Target share
5.3%
Air yards share
1.1%
WOPR
0.09
Rushing
Carries
184
Rush yards
730
Rush TDs
12
Yards / carry
3.97
Passing
Pass yards
0
Pass TDs
0
Interceptions
0
nflverse season totals for 2025, joined on normalised name and position (gsis 00-0039165). 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.
What the market says
Every ADP source we hold, side by side, and where our model sits against them.
Consensus ADP
134.3
Median
131.0
Sources ranking him
3/4
Agreement
Medium
| Source | Rank / ADP |
|---|---|
| Yahoo ADP | 146.0 |
| Sleeper ADP | 126.0 |
| RTSports ADP | 131.0 |
| Fantasy Football Calculator ADP (live) | unranked |
The sources that ranked him disagree by 20.0 picks between highest and lowest (standard deviation 8.5).
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.
Week-to-week, 2025
Consistency and range — the part a season total hides.
Weeks with a line
16
PPR / game
11.3
Std dev
6.5
Coeff. of variation
0.57
Boom rate
6% (1/16)
Bust rate
31% (5/16)
Best week
26.2 wk 17
Worst week
1.0 wk 2
Recent form — last 4 games with a line
16.4 PPR per game over weeks 15, 16, 17, 18 — +5.0 against his season average.
Every week (16 lines)
| Wk | Opp | PPR | Tgt | Rec | Yds | Car | RuYd | TD | RZ |
|---|---|---|---|---|---|---|---|---|---|
| 1 | SF | 10.7 | 0 | 0 | 0 | 12 | 47 | 1 | 4 |
| 2 | PIT | 1.0 | 0 | 0 | 0 | 15 | 10 | 0 | 2 |
| 4 | ARI | 12.4 | 2 | 2 | 5 | 12 | 39 | 1 | 4 |
| 5 | TB | 11.8 | 2 | 1 | 12 | 9 | 36 | 1 | 3 |
| 6 | JAX | 4.7 | 1 | 1 | 13 | 12 | 24 | 0 | 6 |
| 7 | HOU | 19.5 | 2 | 2 | 6 | 12 | 49 | 2 | 3 |
| 9 | WAS | 5.6 | 1 | 1 | 21 | 8 | 25 | 0 | 0 |
| 10 | ARI | 14.3 | 0 | 0 | 0 | 14 | 83 | 1 | 4 |
| 11 | LA | 6.7 | 2 | 2 | 10 | 11 | 37 | 0 | 3 |
| 12 | TEN | 9.5 | 0 | 0 | 0 | 6 | 35 | 1 | 2 |
| 13 | MIN | 11.2 | 0 | 0 | 0 | 14 | 52 | 1 | 4 |
| 14 | ATL | 8.6 | 3 | 2 | 20 | 7 | 46 | 0 | 1 |
| 15 | IND | 3.1 | 1 | 0 | 0 | 8 | 31 | 0 | 2 |
| 16 | LA | 17.4 | 4 | 4 | 22 | 9 | 32 | 1 | 3 |
| 17 | CAR | 26.2 | 2 | 2 | 12 | 18 | 110 | 2 | 6 |
| 18 | SF | 18.7 | 4 | 3 | 23 | 17 | 74 | 1 | 7 |
The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0039165. 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.
Advanced usage & efficiency
Route concepts, red-zone opportunity, and separation-adjusted catch rate.
Red-zone opportunity
Scoring upsideRZ targets
3
RZ carries
53
RZ TDs
11
aDOT
—
Concept EPA / target
0.028
Classified targets
24
Catch residual
—
YAC over expected
—
Most-run concept: FLAT on 50.0% 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.
How the model gets there
The component projection behind the headline number, and what it was built from.
How the model gets there
The component projection behind the headline number, and what it was built from.
Projected games
7.2
Half-PPR (season)
50.1
PPR (season)
54.6
Confidence
medium
Proj targets
11.5
Proj receptions
9.0
Proj rec yards
69
Proj rec TDs
0.4
Proj carries
51.7
Proj rush yards
222
Proj rush TDs
2.4
Proj pass yards
0
Proj pass TDs
0.0
Proj INTs
0.0
Touchdown regression
He actually scored 12 touchdowns last season. Against his measured opportunity the model expects a change of -9.2. 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
16 g in 2025, 11.5 car/g, 1.5 tgt/g, 48% snaps (regressed to the role, not the position), RB5 on depth chart, age 26, -9.2 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.
What this page is standing on
Which sources answered for this player, and which did not.
What this page is standing on
Which sources answered for this player, and which did not.
- Identity join: Resolved to gsis 00-0039165 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 00-0039165 — 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.