Draftanomics
  • 2027 board
  • Consensus board
  • 2028 way-too-early
  • Draft news
  • Simulator
  • The house mock
  • Draft order
  • Trade calculator
  • The Scouting Slate
  • Sleepers & reaches
  • Movers & fallers
  • Player comps
  • Dynasty rookie board
  • Track record
  • Past drafts, re-graded
  • Analyst leaderboard
My rankingsAccount
Get the weekly →
Draftanomics

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

Boards
  • 2027 board
  • Consensus board
  • Sleepers
Tools
  • Mock draft simulator
  • Plays Like
  • Dynasty rookie board
Track Record
  • Year-by-year results
  • Accountability Index
  • Our board, on the record
  • Past drafts, re-graded
  • Methodology
  • Developers · free API
  • About
Account
  • My board
  • Weekly email
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. 2016 board/
  4. Compare

Side-by-side comparison

Backtest

3 prospects · 2016 draft

Each spoke: percentile within the prospect's own position (G)
NM
Nick Martin
G · Notre Dame
— · — · —
SD
Spencer Drango
G · Baylor
— · — · —
VA
Vadal Alexander
G · LSU
— · — · —

Headline metrics

The four numbers a GM checks first.

Nick Martin
Predicted pick
#76
range #66–#86
Bust probability
0%
Consensus rank
#94
on 11 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$10Mmodel
Spencer Drango
Predicted pick
#85
range #75–#95
Bust probability
0%
Consensus rank
#130
on 4 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$7Mmodel
Vadal Alexander
Predicted pick
#88
range #78–#98
Bust probability
6%
Consensus rank
#77
on 9 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$6Mmodel

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
  • Nick Martin· Offensive line
  • Spencer Drango· Offensive line
  • Vadal Alexander· Offensive line
Axis leaders
  • ProductionNick Martin50
  • AthleticismNick Martin43
  • AgeSpencer Drango73
  • ConsensusNick Martin21
  • Per-play impact (PPA)Nick Martin50
  • Breakout ageNick Martin50
  • WorkloadNick Martin50
  • RAS × productionNick Martin35

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.
Nick 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.
Spencer Drango
  • 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.
Vadal Alexander
  • 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.

Nick Martin
Risks
  • 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.
Opportunities
  • Mid-major standout
    School SP+ 22.4 (FBS INDEPENDENTS). Strong program among non-Power-5 — the prospect dominated against decent competition.
Spencer Drango
Risks
  • 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.
Opportunities
No standout upside flags.
Vadal Alexander
Risks
  • 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.
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
Nick MartinSpencer DrangoVadal Alexander· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Nick Martin

Draftanomics projects Nick Martin as a third-round / early Day 3 pick at #76 (range #66-#86, moderate band). Bust probability sits at 0% — low. School SP+ 22.4 (FBS INDEPENDENTS). Strong program among non-Power-5 — the prospect dominated against decent competition. No Combine drills or Pro Day numbers on file while most of the class has tested — the athletic part of the grade is unmeasured. The call is a hold at slot: the model's #76 sits within 4 spots of the room's #72 — no market edge to chase, so take him where he sits, and let the 0% bust probability break ties on draft day.

Spencer Drango

Draftanomics projects Spencer Drango as a third-round / early Day 3 pick at #85 (range #75-#95, moderate band). Bust probability sits at 0% — low. No Combine drills or Pro Day numbers on file while most of the class has tested — the athletic part of the grade is unmeasured. The call is a value lean: #85 against a consensus #107 is a 22-spot edge — enough to move him up the queue, not enough to reach a round early.

Vadal Alexander

Draftanomics projects Vadal Alexander as a third-round / early Day 3 pick at #88 (range #78-#98, moderate band). Bust probability sits at 6% — low. No Combine drills or Pro Day numbers on file while most of the class has tested — the athletic part of the grade is unmeasured. The call is a lean fade: the model sits 14 spots below the room's consensus #74 — don't pay sticker price. The 14-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.