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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
Privacy·Terms·Press ⌘K to search·Draftanomics2026
  1. Draftanomics/
  2. 2020 board/
  3. Darnay Holmes
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Darnay Holmes
2020 NFL Draft prospect

Darnay Holmes

CB·UCLA·Big Ten
age 21.8 · 5'10" · 195 lb

On the live board, bust risk sits at 33% and the realistic range is No. 36 to No. 233.

149rank#149$1.1MCompIsaac Yiadom
Big Ten→ NYG's 2020 class
Print sheet
Backtest: model vs. reality

The model graded Darnay Holmes at pick #149; he was actually picked #110 by NYG. 6 NFL seasons in, he's hung on the fringe of the rotation (grading 5.3 of 20 per season), and the market has paid him — a second deal at $1.0M a year. The 4-tier model has him as a likely role. NFL grades have been modest so far (0% recent-3, 5% peak across 5 seasons).

Darnay HolmesCBDraftanomics #149
Print
Dossier
OverviewScouting reportWhy this gradeConsensusProduction5Risk3Team fit5Will he be there?Comps5Film & notes

Overview

Headline grade, verdict, and the one-line scout take

Draftanomics Rank
Medium conviction
#149CB·UCLA

The league moved faster than our board — NYG took him at No. 110, 39 picks ahead of our No. 149 grade. His career is settling that argument now.

Scouting report

The written report — drafted from the fact sheet, every number traceable, honest about what we can't see yet

Why this grade

Which signals drove the grade up or down — in plain English

Consensus

The analyst room, accuracy-weighted, plus where Draftanomics disagrees with it

Production5

Measurables, traits, and college play quality

Risk3

Bust probability, injury history, character flags, pre-mortem

Team fit5

How well this prospect fits each of the 32 team schemes

Will he be there?

Probability he's still on the board at each of your picks

Comps5

Historical players this prospect resembles

Film & notes

Clips, scout notes, voice memos, written reports

Draftanomics's take

Draftanomics had Darnay Holmes at #149 on draft night — a Day 3 grade — and NYG took him at No. 110, 39 picks earlier than our grade. The model's case leans on his age curve and broad top-100 board coverage. Bust risk projects at 33%, near the position baseline. The room had him #113 pre-draft; our board sat 36 spots lower.

Written from the live model's numbers — projected to round 5, and it updates whenever the model does. See methodology for what drives the take.

Draftanomics Pick?
#149
Day 3range #36–#233 · volatile
Bust Probability?
33%
1.60× CB / S class avg (21%)
well above class avg
Model trust: WEAK
Actual NFL Pick?
#110
NYG · Rd 4
Career Outcome · 6 seasons?
31.7
5.3 / season avg
Career outlook

Career outlook

How this is built →
5-year career arc
Elite
7%
Bust
1%
Starter
21%
Role
71%

Read the two ends and skim the middle: the model has a real track record telling stars and busts apart, but “solid starter vs. rotation guy” is close to a coin flip from public data — that's why those two bars are grayed. For his odds of outright busting, the Bust-risk panel next door is the number to trust.

Second contract · signed
$1.0M/yr
1 years, $1M total.
We projected $3.0M/yr on draft night — close to the money.
Bust risk
60%
comp-based — 3 of 5 closest comps busted
Model says: 33%⚠ the CB / S bust model has no real track record here — trust the comps above instead
Public-board consensus

7 public boards track this prospect. Per-board breakdown loads with the live board.

Pin a team in your account to see how this prospect fits your roster + cap.
Scout note
Private to this device — saved to your browser, never sent to a server.
Empty notes are auto-deleted.
Verdict
Model lower than NFL
Gap (actual − predicted)
-39

Film

Highlight reels indexed from YouTube. Loads only when you press play.

Working in his favor: age, how many boards rank him top-100, and hS recruit rating. Nothing in the profile pulled the grade down.

Age
+0.03
HS recruit rating
+0.02
Production trajectory
+0.01
Scout consensus
-0.01
Workload share
-0.01

Model read

Model grade
0.48 of 1
Confidence?
99%
Predicted round
5

The grade is the 0-to-1 score the board sorts by — it only means something next to the rest of this class, which is why the rank above it is the number to quote.

Pulling the boards…
Mock-draft consensus
Pulling the mocks…
NFL play quality?
0
/ peak 5
Below-average play
Across 5 NFL seasons.
4-tier outlook?
Role
Model expects a depth / rotational role
Model trust: MODERATE
Elite
7%
Starter
21%
Role
71%
Bust
1%

Outcome shares from the 4-tier model. The Bust share here is a different model than the headline bust probability — for bust risk, use that number.

Career trajectory + forecast

Solid points = actual NFL snap share per season. Dashed extension = forecast for upcoming years.

0%25%50%75%100%Y1Y2Y3Y4Y5Y6
Actual Forecast (comp-based)
Risk dashboard

Elevated risk — watch the flags

Risk score24· WATCH

Everything that could go wrong with Darnay Holmes, gathered in one place — the most serious flags listed first.

  • Bust probability33%
    Elevated bust risk — the profile carries one-year-wonder, age, or athleticism red flags.
  • Predicted-pick range#36–233 · 197-pick spread
    The model's own projections scatter widely for this prospect — the landing spot is genuinely uncertain.
  • Age21.8 yrs
    Within the typical CB draft-age band (~23).
  • Public-board coverage7 sources
    Plenty of public boards have a read — the grade is well corroborated.

Case for / case against

Named, concrete signals — every flag cites numbers, comp players, or schedule context.

Reasons to fade
Average-to-below athletic profile
medium
RAS 4.48 (44th percentile at CB). Athleticism is average at best for the position.
Comp group has bust risk
medium
1 of 2 closest comps with NFL outcomes ended up backups or busts: Kamrin Moore. Mixed signal from history.
Reasons to buy
Consensus says higher
high
8 boards have him at mean rank #89; model has him #149 — a 60-spot fade. Analysts converging this much above the model is a tell that the model is undervaluing him.
Scheme context
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Teams likely to draft

Based on each team's roster depth at CB / S, age, and recent capital invested.

NE#1 fit
Need at positionComfortableQuality starters8Roster spots short0Recent picks spent hereLittle
CHI#2 fit
Need at positionComfortableQuality starters5Roster spots short0Recent picks spent hereSome
IND#3 fit
Need at positionComfortableQuality starters8Roster spots short0Recent picks spent hereHeavy
MIN#4 fit
Need at positionComfortableQuality starters8Roster spots short0Recent picks spent hereHeavy
JAX#5 fit
Need at positionComfortableQuality starters7Roster spots short0Recent picks spent hereHeavy

Historical comps

Side-by-side with top comps →

Closest historical matches among prior CB / S prospects who were drafted, by overall statistical profile. A smaller distance means a closer match.

PlayerPosYearPickSnap trajectoryCareer arcDistance
Artie BurnsCB2016#25
↑7 pts
Starter1.42
Isaac YiadomCB2018#99
→3 pts
Contributor1.45
Harlan MillerCB2016#205
↓40 pts
Contributor1.50
Cornell ArmstrongCB2018#209
→1 pts
Contributor1.76
Kamrin MooreCB2018#189
→0 pts
Bust1.83
Scout reports
Paste in any scouting report you trust; Draftanomics pulls out the concrete claims so you can weigh them against the model on the same page.
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