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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
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Side-by-side comparison

Backtest

3 prospects · 2015 draft

Each spoke: percentile within the prospect's own position (RB)
JL
Jeremy Langford
RB · Michigan St.
23.4 yo · 6'0" · 208 lb
DC
David Cobb
RB · Minnesota
21.9 yo · 5'11" · 229 lb
DJ
David Johnson
RB · Northern Iowa
23.4 yo · — · —

Headline metrics

The four numbers a GM checks first.

Jeremy Langford
Predicted pick
#187
range #185–#189
Bust probability
6%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$6Mmodel
David Cobb
Predicted pick
#118
range #116–#120
Bust probability
6%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$4Mmodel
David Johnson
Predicted pick
#254
range #252–#256
Bust probability
1%
Consensus rank
—
no boards yet
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$19Mmodel

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
  • Jeremy Langford· RB / WR / TE
  • David Cobb· RB / WR / TE
  • David Johnson· RB / WR / TE
Axis leaders
  • ProductionJeremy Langford33
  • AthleticismJeremy Langford40
  • AgeDavid Cobb96
  • ConsensusDavid Cobb76
  • Per-play impact (PPA)Jeremy Langford50
  • Breakout ageJeremy Langford50
  • WorkloadJeremy Langford100
  • RAS × productionJeremy Langford0

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.
Jeremy Langford
  • 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.
David Cobb
  • 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.
David Johnson
  • 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.

Jeremy Langford
Risks
  • Older prospect
    Age 23.4 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed.
  • Negative per-play impact
    PPA avg_all 0.199 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
Opportunities
  • Breakout production arc
    Career trajectory in rushing yards: 23 → 1422 → 1522. Production rose every season — the kind of upward arc that often continues into the league.
David Cobb
Risks
  • One-year wonder
    Production concentrated in one season: best 1629 rushing yards vs 4-season mean 724. Limited multi-year tape — small sample of true production.
  • Negative per-play impact
    PPA avg_all 0.132 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
Opportunities
No standout upside flags.
David Johnson
Risks
  • Older prospect
    Age 23.4 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.
  • Negative per-play impact
    PPA avg_all -0.076 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
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
Jeremy LangfordDavid CobbDavid Johnson· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Jeremy Langford

Draftanomics projects Jeremy Langford (age 23.4 at draft) as a Day 3 dart throw at #187 (range #185-#189, tight projection). Bust probability sits at 6% — low. Career trajectory in rushing yards: 23 → 1422 → 1522. Production rose every season — the kind of upward arc that often continues into the league. Age 23.4 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 #187 stands alone — and with bust risk at 6%, let the room catch up before paying a premium.

David Cobb

Draftanomics projects David Cobb (age 21.9 at draft) as a mid-round flyer at #118 (range #116-#120, tight projection). Bust probability sits at 6% — low. Production concentrated in one season: best 1629 rushing yards vs 4-season mean 724. Limited multi-year tape — small sample of true production. The call is a hold: no public board ranks him, so the model's #118 stands alone — and with bust risk at 6%, let the room catch up before paying a premium.

David Johnson

Draftanomics projects David Johnson (age 23.4 at draft) as a Day 3 dart throw at #254 (range #252-#256, tight projection). Bust probability sits at 1% — low. Age 23.4 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 #254 stands alone — and with bust risk at 1%, let the room catch up before paying a premium.