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Data + sources
RAS by Kent Lee Platte·Consensus Big Board (Arif Hasan)·nflverse·PFR·CFBD·All sources & credits·Methodology
Career-value model, live
Privacy·Terms·Press ⌘K to search·Draftanomics2026
  1. Draftanomics/
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Side-by-side comparison

Backtest

3 prospects · 2016 draft

Each spoke: percentile within the prospect's own position (WR)
JP
Jordan Payton
WR · UCLA
22.6 yo · 6'1" · 207 lb
MM
Malcolm Mitchell
WR · Georgia
22.8 yo · 6'0" · 198 lb
DF
Devin Fuller
WR · UCLA
22.2 yo · — · —

Headline metrics

The four numbers a GM checks first.

Jordan Payton
Predicted pick
#228
range #226–#230
Bust probability
0%
Consensus rank
#109
on 2 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$5Mmodel
Malcolm Mitchell
Predicted pick
#208
range #206–#210
Bust probability
66%
Consensus rank
#158
on 11 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$5Mmodel
Devin Fuller
Predicted pick
#232
range #218–#246
Bust probability
73%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$3Mmodel

Feature radar

Each axis is the prospect's percentile among prospects at his position (0–100). Bigger shape = stronger across the board.

ProductionAthleticismAgeConsensusPer-play impact (PPA)Breakout ageWorkloadRAS × production
Prospects
  • Jordan Payton· RB / WR / TE
  • Malcolm Mitchell· RB / WR / TE
  • Devin Fuller· RB / WR / TE
Axis leaders
  • ProductionJordan Payton0
  • AthleticismJordan Payton45
  • AgeDevin Fuller83
  • ConsensusJordan Payton27
  • Per-play impact (PPA)Jordan Payton50
  • Breakout ageJordan Payton50
  • WorkloadJordan Payton100
  • RAS × productionJordan Payton51

Comp overlap

Top five historical comps per prospect. Shared comps highlighted.

No shared comps in the top five. Each prospect has a distinct historical profile.
Jordan Payton
  • comps arrive after the combineBefore the combine there isn't enough measured data to match him confidently against past players. Comparisons draw on recent NFL careers (2021–2024) and fill in once combine numbers and game-by-game stats land.
Malcolm Mitchell
  • comps arrive after the combineBefore the combine there isn't enough measured data to match him confidently against past players. Comparisons draw on recent NFL careers (2021–2024) and fill in once combine numbers and game-by-game stats land.
Devin Fuller
  • comps arrive after the combineBefore the combine there isn't enough measured data to match him confidently against past players. Comparisons draw on recent NFL careers (2021–2024) and fill in once combine numbers and game-by-game stats land.

Risk and opportunity flags

Top three concerns and top two upside signals from the model.

Jordan Payton
Risks
No major risks flagged.
Opportunities
  • Consensus says higher
    3 boards have him at mean rank #80; model has him #228 — a 148-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.
  • Breakout production arc
    Career trajectory in receiving yards: 202 → 440 → 954 → 1106. Production rose every season — the kind of upward arc that often continues into the league.
Malcolm Mitchell
Risks
No major risks flagged.
Opportunities
  • Consensus says higher
    12 boards have him at mean rank #96; model has him #208 — a 112-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.
Devin Fuller
Risks
  • Missed entire rookie season
    Drafted #238 by ATL in 2016 but recorded ZERO regular-season NFL snaps. Year-1 absence is one of the strongest single-signal bust predictors we have.
  • No athletic testing
    No Combine drills or Pro Day numbers on file while most of the class has tested — the athletic part of the grade is unmeasured.
  • Consensus skeptic
    1 board place him at mean rank #654; model has him #232 — a 422-spot gap. When boards fade a player this hard, the model is usually the one missing something.
Opportunities
No standout upside flags.

Career trajectory forecast

Projected share of his team's snaps across the first four NFL seasons. Solid = seasons already played, dashed = the forecast.

0%25%50%75%100%Y1Y2Y3Y4Snap share
Jordan PaytonMalcolm MitchellDevin Fuller· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Jordan Payton

Draftanomics projects Jordan Payton (age 22.6 at draft) as a Day 3 dart throw at #228 (range #226-#230, tight projection). Bust probability sits at 0% — low. Career trajectory in receiving yards: 202 → 440 → 954 → 1106. Production rose every season — the kind of upward arc that often continues into the league. The call is a genuine fade: the room's consensus prices him around #80 and the model won't take him before #228 — a 148-spot markdown. The 148-spot markdown rests on thin verified signal rather than a named flaw — the model hasn't seen enough yet to match the room's conviction.

Malcolm Mitchell

Draftanomics projects Malcolm Mitchell (age 22.8 at draft) as a Day 3 dart throw at #208 (range #206-#210, tight projection). Bust probability sits at 66% — scary. The call is a genuine fade: the room's consensus prices him around #96 and the model won't take him before #208 — a 112-spot markdown. A 66% bust probability backs the 112-spot markdown.

Devin Fuller

Draftanomics projects Devin Fuller (age 22.2 at draft) as a Day 3 dart throw at #232 (range #218-#246, wide band). Bust probability sits at 73% — scary. Drafted #238 by ATL in 2016 but recorded ZERO regular-season NFL snaps. Year-1 absence is one of the strongest single-signal bust predictors we have. The call is a conviction buy: the model has him 422 spots ahead of the room (board #232 vs consensus #654) — but size the bet for the 73% bust probability; this is a price edge, not a safety edge.