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RAS by Kent Lee Platte·Consensus Big Board (Arif Hasan)·nflverse·PFR·CFBD·All sources & credits·Methodology
Career-value model, live
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Side-by-side comparison

Backtest

3 prospects · 2017 draft

Each spoke: percentile within the prospect's own position (RB)
MD
Matthew Dayes
RB · North Carolina St.
21.6 yo · — · —
DF
D'Onta Foreman
RB · Texas
21.0 yo · 6'0" · 233 lb
KM
Khalfani Muhammad
RB · California
22.6 yo · — · —

Headline metrics

The four numbers a GM checks first.

Matthew Dayes
Predicted pick
#144
range #113–#175
Bust probability
57%
0%0/5 comps
Consensus rank
—
no boards yet
Career arc
Bust
tier · Day 3
2nd-deal AAV
$4Mmodel
D'Onta Foreman
Predicted pick
#166
range #132–#200
Bust probability
66%
0%0/4 comps
Consensus rank
#98
on 18 boards
Career arc
Bust
tier · Day 3
2nd-deal AAV
$4Mmodel
Khalfani Muhammad
Predicted pick
#226
range #193–#259
Bust probability
77%
0%0/5 comps
Consensus rank
—
no boards yet
Career arc
Franchise
tier · Day 3
2nd-deal AAV
$3Mmodel

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
  • Matthew Dayes· RB / WR / TE
  • D'Onta Foreman· RB / WR / TE
  • Khalfani Muhammad· RB / WR / TE
Axis leaders
  • ProductionMatthew Dayes41
  • AthleticismD'Onta Foreman33
  • AgeMatthew Dayes100
  • ConsensusD'Onta Foreman6
  • Per-play impact (PPA)Matthew Dayes50
  • Breakout ageMatthew Dayes50
  • WorkloadMatthew Dayes100
  • RAS × productionMatthew Dayes50

Comp overlap

Top five historical comps per prospect. Shared comps highlighted.

Shared comps
  • David CobbRB · Bust→ shared byMatthew DayesD'Onta ForemanKhalfani Muhammad
  • Josh RobinsonRB · Bust→ shared byMatthew DayesD'Onta ForemanKhalfani Muhammad
  • David JohnsonRB · Franchise→ shared byMatthew DayesKhalfani Muhammad
  • Tevin ColemanRB · Franchise→ shared byMatthew DayesKhalfani Muhammad
Matthew Dayes
  • David Cobbshared
    RB · #138
    Bust
  • David Johnsonshared
    RB · #86
    Franchise
  • Josh Robinsonshared
    RB · #205
    Bust
  • Tevin Colemanshared
    RB · #73
    Franchise
  • Mike Davis
    RB · #126
    Starter
D'Onta Foreman
  • David Cobbshared
    RB · #138
    Bust
  • Josh Robinsonshared
    RB · #205
    Bust
  • Kenny Hilliard
    RB · #235
    TBD
  • Jeremy Langford
    RB · #106
    Starter
  • Marcus Murphy
    RB · #230
    Contributor
Khalfani Muhammad
  • David Cobbshared
    RB · #138
    Bust
  • David Johnsonshared
    RB · #86
    Franchise
  • Josh Robinsonshared
    RB · #205
    Bust
  • Duke Johnson
    RB · #77
    Franchise
  • Tevin Colemanshared
    RB · #73
    Franchise

Risk and opportunity flags

Top three concerns and top two upside signals from the model.

Matthew Dayes
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.
  • Comp group has bust risk
    2 of 5 closest comps with NFL outcomes ended up backups or busts: David Cobb, Josh Robinson. Mixed signal from history.
  • Negative per-play impact
    PPA avg_all 0.051 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
Opportunities
  • Promising comp group
    3 of 5 closest comps with NFL outcomes hit Starter-or-better: David Johnson, Tevin Coleman, Mike Davis.
  • Breakout production arc
    Career trajectory in rushing yards: 252 → 573 → 865 → 1166. Production rose every season — the kind of upward arc that often continues into the league.
D'Onta Foreman
Risks
  • Comp group bust rate
    2 of 3 closest comps with NFL outcomes washed out: David Cobb, Josh Robinson. The neighborhood in feature space is dangerous.
  • One-year wonder
    Production concentrated in one season: best 2028 rushing yards vs 3-season mean 928. Limited multi-year tape — small sample of true production.
  • Negative per-play impact
    PPA avg_all 0.263 — per-snap contribution is below-average for the position. Volume stats overstate the impact.
Opportunities
  • Consensus says higher
    19 boards have him at mean rank #79; model has him #166 — a 87-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.
  • Breakout production arc
    Career trajectory in rushing yards: 74 → 681 → 2028. Production rose every season — the kind of upward arc that often continues into the league.
Khalfani Muhammad
Risks
  • Missed entire rookie season
    Drafted #241 by TEN in 2017 but recorded ZERO regular-season NFL snaps. Year-1 absence is one of the strongest single-signal bust predictors we have.
  • 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.
  • Consensus skeptic
    1 board place him at mean rank #482; model has him #226 — a 256-spot gap. When boards fade a player this hard, the model is usually the one missing something.
Opportunities
  • Promising comp group
    3 of 5 closest comps with NFL outcomes hit Starter-or-better: David Johnson, Duke Johnson, Tevin Coleman.

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
Matthew DayesD'Onta ForemanKhalfani Muhammad· solid = actuals, dashed = forecast

Verdict

The model's plain-English read.

Matthew Dayes

Draftanomics projects Matthew Dayes (age 21.6 at draft) as a mid-round flyer at #144 (range #113-#175, very wide band — too little on him yet to project tightly). Bust probability sits at 57% — elevated. The comp set is strong: 3 of 5 closest comps with known NFL outcomes became starters or better. Closest comps: David Cobb (Bust), David Johnson (Franchise), Josh Robinson (Bust). Ceiling is Tevin Coleman (Franchise); floor is Mike Davis (Starter). Career trajectory in rushing yards: 252 → 573 → 865 → 1166. Production rose every season — the kind of upward arc that often continues into the league. 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 #144 sits within 4 spots of the room's #140 — no market edge to chase, so take him where he sits, and let the 57% bust probability break ties on draft day.

D'Onta Foreman

Draftanomics projects D'Onta Foreman (age 21.0 at draft) as a mid-round flyer at #166 (range #132-#200, very wide band — too little on him yet to project tightly). Bust probability sits at 66% — scary. The comp set is dangerous: 2 of 3 closest comps with known NFL outcomes washed out as backups or busts. Closest comps: David Cobb (Bust), Josh Robinson (Bust), Kenny Hilliard. Ceiling is Jeremy Langford (Starter); floor is Kenny Hilliard. Career trajectory in rushing yards: 74 → 681 → 2028. Production rose every season — the kind of upward arc that often continues into the league. 2 of 3 closest comps with NFL outcomes washed out: David Cobb, Josh Robinson. The neighborhood in feature space is dangerous. The call is a genuine fade: the room's consensus prices him around #79 and the model won't take him before #166 — a 87-spot markdown. The discount is earned — comp group bust rate leads the case against.

Khalfani Muhammad

Draftanomics projects Khalfani Muhammad (age 22.6 at draft) as a Day 3 dart throw at #226 (range #193-#259, very wide band — too little on him yet to project tightly). Bust probability sits at 77% — scary. The comp set is strong: 3 of 5 closest comps with known NFL outcomes became starters or better. Closest comps: David Cobb (Bust), David Johnson (Franchise), Josh Robinson (Bust). Ceiling is Tevin Coleman (Franchise); floor is David Johnson (Franchise). Drafted #241 by TEN in 2017 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 conviction buy: the model has him 256 spots ahead of the room (board #226 vs consensus #482) — but size the bet for the 77% bust probability; this is a price edge, not a safety edge.