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Honest NFL Draft analytics. The model's receipts against actual NFL teams live on the track record.

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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. 2019 board/
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Side-by-side comparison

Backtest

3 prospects · 2019 draft

Each spoke: percentile within the prospect's own position (G, OT)
PH
Phil Haynes
G · Wake Forest
— · — · —
WM
Wes Martin
G · Indiana
— · — · —
JS
Justin Skule
OT · Vanderbilt
— · — · —

Headline metrics

The four numbers a GM checks first.

Phil Haynes
Predicted pick
#178
range #75–#223
Bust probability
3%
Consensus rank
#154
on 2 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$4Mmodel
Wes Martin
Predicted pick
#117
range #87–#247
Bust probability
6%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$2Mmodel
Justin Skule
Predicted pick
#177
range #120–#270
Bust probability· rough estimate
8%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$2Mmodel

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
  • Phil Haynes· Offensive line
  • Wes Martin· Offensive line
  • Justin Skule· Offensive line
Axis leaders
  • ProductionPhil Haynes50
  • AthleticismPhil Haynes31
  • AgeWes Martin93
  • ConsensusWes Martin24
  • Per-play impact (PPA)Phil Haynes50
  • Breakout agePhil Haynes50
  • WorkloadPhil Haynes50
  • RAS × productionPhil Haynes31

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.
Phil Haynes
  • 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.
Wes Martin
  • 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.
Justin Skule
  • 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.

Phil Haynes
Risks
No major risks flagged.
Opportunities
No standout upside flags.
Wes Martin
Risks
No major risks flagged.
Opportunities
No standout upside flags.
Justin Skule
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
Phil HaynesWes MartinJustin Skule· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Phil Haynes

−0.04 boards with him top-100; +0.03 charting total career snaps; +0.03 age

Wes Martin

−0.04 boards with him top-100; +0.04 charting total career snaps; +0.04 age

Justin Skule

−0.04 boards with him top-100; +0.04 charting total career snaps; +0.02 age