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Jaxson Dart headshot
Position: QuarterbackG Tier

Jaxson Dart

QB · NYG · Bye 8

Age 236'2"223 lbs1 yr
FFT9976

Elite Profile

Calibrated public rating

RAW 65 · 91% cov

Projection

12.2

Half-PPR / game

Market ADP

85.7

Consensus overall

FFT fair value

106.7

Calibrated pick

Draft delta

-21.0

Market minus FFT

Draft recommendation

Market is aggressive

Risk / reliability

Medium Risk

48
Risk: Medium

Reliability

48 / 99

Coverage

80%

Live board

Today's Read

FADE

Scored 24 TDs on 65 red-zone opportunities — opportunity implies only about 17.44. Touchdown rates that far above expectation rarely repeat, and the market is paying for them.

Model rank

180.9

Market

85.7

Confidence

low

Full analysis

2026 week 1

Weekly Outlook

FFT · BDL · SLEEPER · MARKETS

The BALLDONTLIE weekly outlook is unavailable for this player right now. The rest of the profile remains live.

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.

Jaxson Dart · 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 Jaxson Dart yet.

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

FFT Newsroom

Latest news for Jaxson Dart

All reports

Position-relative

FFT99 Pillar Scores

Methodology

Fantasy Scoring Dominance

75

Strong

75

Top 19% at QB

Rushing Leverage

81

Strong

81

Top 6% at QB

Replacement + Draft Economics

68

Average

68

Top 32% at QB

Passing Engine

43

Watch

43

Top 45% at QB

Offensive Ecosystem

39

Watch

39

Top 59% at QB

Fantasy Playoff Schedule

69

Average

69

Top 9% at QB

Player Profile

Fantasy Scoring Dominance75
Rushing Leverage81
Replacement + Draft Economics68
Passing Engine43
Offensive Ecosystem39
Fantasy Playoff Schedule69

Games

14

Half-PPR

241.58

Total TD

24

Model Component Contributions

The measured inputs doing the most work inside this grade.

Proj Ppg
14%
Value Over Replacement
13%
Prior Ppg
9%
Boom Rate
7%
Rush Ypg
6%
Floor Rate
5%
Designed Attempts
5%
Scramble Rate
3%

Draft Economics

Value Over Replacement

-188.4

proj. half-PPR pts

Rank Delta

-71

position spots vs ADP

Value Grade

D

Reach

reachfair valuesteal

Market

85.7

FFT value

106.7

Board Δ

-21.0

Playoff Schedule

Week 15

vs CLE

Rank 28th

Tough

Week 16

@ DET

Rank 9th

Great

Week 17

@ DAL

Rank 1st

Elite

FFT99 vs ADP

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

Jaxson DartCONSENSUS 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 Jaxson Dart. 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

14

PPR pts

241.6

Half-PPR pts

241.6

PPR / game

17.3

Receiving

Targets

0

Receptions

0

Rec yards

0

Rec TDs

0

Target share

0.0%

Air yards share

0.0%

WOPR

0.00

Rushing

Carries

86

Rush yards

487

Rush TDs

9

Yards / carry

5.66

Passing

Pass yards

2272

Pass TDs

15

Interceptions

5

nflverse season totals for 2025, joined on normalised name and position (gsis 00-0040691). 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

85.7

Median

89.0

Sources ranking him

3/3

Agreement

Medium

SourceRank / ADP
Yahoo ADP74.0
Sleeper ADP89.0
RTSports ADP94.0

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.

Weeks with a line

14

PPR / game

17.3

Std dev

9.9

Coeff. of variation

0.57

Boom rate

29% (4/14)

Bust rate

29% (4/14)

Best week

28.4 wk 7

Worst week

-0.3 wk 2

Recent form — last 4 games with a line

16.9 PPR per game over weeks 15, 16, 17, 18 — -0.3 against his season average.

Every week (14 lines)
WkOppPPRTgtRecYdsCarRuYdTDRZ
2DAL-0.30001-300
3KC0.30001300
4LAC19.8000105427
5NO15.600075529
6PHI23.6000135826
7DEN28.400051145
8PHI19.400061726
9SF27.200085635
10CHI26.300066626
13NE13.600042010
15WAS22.100096327
16MIN0.00002701
17LV25.1000948210
18DAL20.400053227

The weekly LINES are measured: 2025 game logs, joined on gsis id 00-0040691. 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 (QB: boom ≥ 25, bust ≤ 15) 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

0

RZ carries

78

RZ TDs

17

aDOT

—

Concept EPA / target

—

Classified targets

—

Catch residual

—

YAC over expected

—

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

5.7

Half-PPR (season)

69.7

PPR (season)

69.7

Confidence

medium

Proj targets

0.0

Proj receptions

0.0

Proj rec yards

0

Proj rec TDs

0.0

Proj carries

25.0

Proj rush yards

119

Proj rush TDs

2.0

Proj pass yards

752

Proj pass TDs

5.0

Proj INTs

2.0

Touchdown regression

He actually scored 24 touchdowns last season. Against his measured opportunity the model expects a change of -16.9. 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

14 g in 2025, 24.2 att/g, 84% snaps (regressed to the role, not the position), QB4 on depth chart, age 23, -16.9 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.

  • Identity join: Resolved to gsis 00-0040691 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 00-0040691 — 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), 145 confirmed undrafted, 172 with capital UNKNOWN.
  • 172 of 399 rookie projections (43%) 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.