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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. 2015 board/
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Side-by-side comparison

Backtest

3 prospects · 2015 draft

Each spoke: percentile within the prospect's own position (WR)
DB
Da'Ron Brown
WR · Northern Illinois
23.6 yo · 6'0" · 205 lb
NS
Neal Sterling
WR · Monmouth
23.3 yo · — · —
MA
Mario Alford
WR · West Virginia
23.2 yo · 5'8" · 180 lb

Headline metrics

The four numbers a GM checks first.

Da'Ron Brown
Predicted pick
#250
range #248–#252
Bust probability
77%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$5Mmodel
Neal Sterling
Predicted pick
#189
range #168–#210
Bust probability
0%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$3Mmodel
Mario Alford
Predicted pick
#234
range #232–#236
Bust probability
77%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$4Mmodel

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
  • Da'Ron Brown· RB / WR / TE
  • Neal Sterling· RB / WR / TE
  • Mario Alford· RB / WR / TE
Axis leaders
  • ProductionDa'Ron Brown33
  • AthleticismDa'Ron Brown40
  • AgeNeal Sterling33
  • ConsensusNeal Sterling65
  • Per-play impact (PPA)Da'Ron Brown50
  • Breakout ageDa'Ron Brown50
  • WorkloadDa'Ron Brown100
  • RAS × productionDa'Ron Brown0

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.
Da'Ron Brown
  • 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.
Neal Sterling
  • 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.
Mario Alford
  • 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.

Da'Ron Brown
Risks
  • Missed entire rookie season
    Drafted #233 by KAN in 2015 but recorded ZERO regular-season NFL snaps. Year-1 absence is one of the strongest single-signal bust predictors we have.
  • Older prospect
    Age 23.6 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed.
Opportunities
No standout upside flags.
Neal Sterling
Risks
  • Older prospect
    Age 23.3 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed.
  • 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.
Mario Alford
Risks
  • Older prospect
    Age 23.2 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed.
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
Da'Ron BrownNeal SterlingMario Alford· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Da'Ron Brown

Draftanomics projects Da'Ron Brown (age 23.6 at draft) as a Day 3 dart throw at #250 (range #248-#252, tight projection). Bust probability sits at 77% — scary. Drafted #233 by KAN in 2015 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 hold: no public board ranks him, so the model's #250 stands alone — and with bust risk at 77%, let the room catch up before paying a premium.

Neal Sterling

Draftanomics projects Neal Sterling (age 23.3 at draft) as a Day 3 dart throw at #189 (range #168-#210, wide band). Bust probability sits at 0% — low. Age 23.3 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed. The call is a hold: no public board ranks him, so the model's #189 stands alone — and with bust risk at 0%, let the room catch up before paying a premium.

Mario Alford

Draftanomics projects Mario Alford (age 23.2 at draft) as a Day 3 dart throw at #234 (range #232-#236, tight projection). Bust probability sits at 77% — scary. Age 23.2 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed. The call is a hold: no public board ranks him, so the model's #234 stands alone — and with bust risk at 77%, let the room catch up before paying a premium.