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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. 2016 board/
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Side-by-side comparison

Backtest

3 prospects · 2016 draft

Each spoke: percentile within the prospect's own position (WR)
SS
Sterling Shepard
WR · Oklahoma
23.2 yo · 5'10" · 194 lb
CM
Chris Moore
WR · Cincinnati
22.9 yo · 6'1" · 206 lb
JP
Jordan Payton
WR · UCLA
22.6 yo · 6'1" · 207 lb

Headline metrics

The four numbers a GM checks first.

Sterling Shepard
Predicted pick
#63
range #61–#65
Bust probability
0%
Consensus rank
#43
on 12 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$22Mmodel
Chris Moore
Predicted pick
#187
range #185–#189
Bust probability
11%
Consensus rank
#146
on 1 board
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$4Mmodel
Jordan Payton
Predicted pick
#228
range #226–#230
Bust probability
0%
Consensus rank
#109
on 2 boards
Career arc
arrives after the combineThe forecast needs his measurables first.
2nd-deal AAV
$5Mmodel

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
  • Sterling Shepard· RB / WR / TE
  • Chris Moore· RB / WR / TE
  • Jordan Payton· RB / WR / TE
Axis leaders
  • ProductionSterling Shepard0
  • AthleticismSterling Shepard73
  • AgeJordan Payton57
  • ConsensusSterling Shepard55
  • Per-play impact (PPA)Sterling Shepard50
  • Breakout ageSterling Shepard50
  • WorkloadSterling Shepard100
  • RAS × productionJordan Payton51

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.
Sterling Shepard
  • 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.
Chris Moore
  • 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 Payton
  • 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.

Sterling Shepard
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.
Chris Moore
Risks
No major risks flagged.
Opportunities
  • Consensus says higher
    2 boards have him at mean rank #68; model has him #187 — a 120-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.
  • Breakout production arc
    Career trajectory in receiving yards: 113 → 645 → 673 → 870. Production rose every season — the kind of upward arc that often continues into the league.
Jordan Payton
Risks
No major risks flagged.
Opportunities
  • Consensus says higher
    3 boards have him at mean rank #80; model has him #228 — a 148-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.
  • Breakout production arc
    Career trajectory in receiving yards: 202 → 440 → 954 → 1106. Production rose every season — the kind of upward arc that often continues into the league.

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
Sterling ShepardChris MooreJordan Payton· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Sterling Shepard

Draftanomics projects Sterling Shepard (age 23.2 at draft) as a Day 2 pick at #63 (range #61-#65, tight projection). Bust probability sits at 0% — low. Age 23.2 at draft. Slightly older than the cohort median (~22.5); upside ceiling is trimmed. The call is a lean fade: the model sits 18 spots below the room's consensus #45 — don't pay sticker price. The discount is earned — older prospect leads the case against.

Chris Moore

Draftanomics projects Chris Moore (age 22.9 at draft) as a Day 3 dart throw at #187 (range #185-#189, tight projection). Bust probability sits at 11% — low. Career trajectory in receiving yards: 113 → 645 → 673 → 870. Production rose every season — the kind of upward arc that often continues into the league. The call is a genuine fade: the room's consensus prices him around #68 and the model won't take him before #187 — a 120-spot markdown. The 120-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.

Jordan Payton

Draftanomics projects Jordan Payton (age 22.6 at draft) as a Day 3 dart throw at #228 (range #226-#230, tight projection). Bust probability sits at 0% — low. Career trajectory in receiving yards: 202 → 440 → 954 → 1106. Production rose every season — the kind of upward arc that often continues into the league. The call is a genuine fade: the room's consensus prices him around #80 and the model won't take him before #228 — a 148-spot markdown. The 148-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.