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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 · 2016 draft

Each spoke: percentile within the prospect's own position (RB)
KD
Kenneth Dixon
RB · Louisiana Tech
22.3 yo · 5'10" · 215 lb
PP
Paul Perkins
RB · UCLA
21.4 yo · 5'10" · 208 lb
JH
Jordan Howard
RB · Indiana
21.5 yo · 6'0" · 230 lb

Headline metrics

The four numbers a GM checks first.

Kenneth Dixon
Predicted pick
#19
range #17–#21
Bust probability
71%
Consensus rank
#81
on 11 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$6Mmodel
Paul Perkins
Predicted pick
#64
range #62–#66
Bust probability
0%
Consensus rank
#114
on 11 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$3Mmodel
Jordan Howard
Predicted pick
#136
range #134–#138
Bust probability
0%
Consensus rank
#76
on 5 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
  • Kenneth Dixon· RB / WR / TE
  • Paul Perkins· RB / WR / TE
  • Jordan Howard· RB / WR / TE
Axis leaders
  • ProductionKenneth Dixon67
  • AthleticismKenneth Dixon45
  • AgeKenneth Dixon84
  • ConsensusKenneth Dixon27
  • Per-play impact (PPA)Kenneth Dixon50
  • Breakout ageKenneth Dixon50
  • WorkloadKenneth Dixon100
  • RAS × productionPaul Perkins75

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.
Kenneth Dixon
  • 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.
Paul Perkins
  • 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.
Jordan Howard
  • 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.

Kenneth Dixon
Risks
  • Consensus skeptic
    12 boards place him at mean rank #69; model has him #19 — a 50-spot gap. When boards fade a player this hard, the model is usually the one missing something.
  • Negative per-play impact
    PPA avg_all 0.235 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
Opportunities
  • Mid-major standout
    School SP+ 8.3 (SUN BELT). Strong program among non-Power-5 — the prospect dominated against decent competition.
Paul Perkins
Risks
  • Negative per-play impact
    PPA avg_all 0.232 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
Opportunities
No standout upside flags.
Jordan Howard
Risks
No major risks flagged.
Opportunities
  • Consensus says higher
    6 boards have him at mean rank #70; model has him #136 — a 66-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.

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
Kenneth DixonPaul PerkinsJordan Howard· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Kenneth Dixon

Draftanomics projects Kenneth Dixon (age 22.3 at draft) as a first-round pick at #19 (range #17-#21, tight projection). Bust probability sits at 71% — scary. School SP+ 8.3 (SUN BELT). Strong program among non-Power-5 — the prospect dominated against decent competition. PPA avg_all 0.235 — per-snap contribution is below-average for the position. Volume stats overstate the impact. The call is a conviction buy: the model has him 50 spots ahead of the room (board #19 vs consensus #69) — but size the bet for the 71% bust probability; this is a price edge, not a safety edge.

Paul Perkins

Draftanomics projects Paul Perkins (age 21.4 at draft) as a Day 2 pick at #64 (range #62-#66, tight projection). Bust probability sits at 0% — low. PPA avg_all 0.232 — per-snap contribution is below-average for the position. Volume stats overstate the impact. The call is a value lean: #64 against a consensus #82 is a 18-spot edge — enough to move him up the queue, not enough to reach a round early, with negative per-play impact the tax on that edge.

Jordan Howard

Draftanomics projects Jordan Howard (age 21.5 at draft) as a mid-round flyer at #136 (range #134-#138, tight projection). Bust probability sits at 0% — low. The call is a genuine fade: the room's consensus prices him around #70 and the model won't take him before #136 — a 66-spot markdown. The 66-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.