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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/
  2. Prospects/
  3. 2020 board/
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Side-by-side comparison

Backtest

2 prospects · 2020 draft

Each spoke: percentile within the prospect's own position (LB)
JG
Jordan Glasgow
LB · Michigan
23.8 yo · — · —
TD
Troy Dye
LB · Oregon
23.6 yo · 6'3" · 231 lb
Tiebreaker
High confidence
Take Troy Dye over Jordan Glasgow.

Decisive factor: 100-pick gap on Draftanomics projection. Reinforced by a bust risk 30 points lower.

Headline metrics

The four numbers a GM checks first.

Jordan Glasgow
Predicted pick
#209
range #126–#260
Bust probability
45%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$3Mmodel
Troy Dye
Predicted pick
#109
range #56–#212
Bust probability
15%
Consensus rank
#102
on 12 boards
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 Glasgow· EDGE / DL / LB
  • Troy Dye· EDGE / DL / LB
Axis leaders
  • ProductionJordan Glasgow0
  • AthleticismJordan Glasgow29
  • AgeTroy Dye23
  • ConsensusJordan Glasgow5
  • Per-play impact (PPA)Jordan Glasgow50
  • Breakout ageJordan Glasgow50
  • WorkloadJordan Glasgow100
  • RAS × productionTroy Dye54

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 Glasgow
  • 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.
Troy Dye
  • 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 Glasgow
Risks
No major risks flagged.
Opportunities
No standout upside flags.
Troy Dye
Risks
No major risks flagged.
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 GlasgowTroy Dye· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Jordan Glasgow

−0.05 age; −0.04 boards with him top-100; −0.04 charting catch rate allowed avg

Troy Dye

+0.04 boards with him top-100; −0.04 age; −0.02 scout consensus