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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. 2018 board/
  3. Josh Sweat
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Josh Sweat
2018 NFL Draft prospect

Josh Sweat

EDGE·Florida St.
age 21.1 · 6'4" · 251 lb

On the live board, bust risk sits at 0% and the realistic range is No. 39 to No. 216.

95rank#95$1.3MCompJoey Bosa
→ PHI's 2018 class
Print sheet
Backtest: model vs. reality

The model graded Josh Sweat at pick #95; he was actually picked #130 by PHI. 8 NFL seasons in, he's hung on the fringe of the rotation (grading 6.8 of 20 per season), and the market has paid him — a second deal at $13.3M a year. The 4-tier model gives him a 46% chance at an elite career. NFL grades have been modest so far (7% recent-3, 43% peak across 7 seasons). Model predicted $18M/yr; actual $13M (over by $5M).

Josh SweatEDGEDraftanomics #95
Print
Dossier
OverviewScouting reportWhy this gradeConsensusProduction7Risk1Team fit5Will he be there?Comps5Film & notes

Overview

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

Draftanomics Rank
Medium conviction
#95EDGE·Florida St.

We had him No. 95 on draft night; PHI didn't call his name until No. 130 — a 35-pick gap between our board and the league's. 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

Production7

Measurables, traits, and college play quality

Risk1

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 Josh Sweat at #95 on draft night — a Day 2 grade — and PHI took him at No. 130, 35 picks later than our grade. The model's case leans on his age curve. Bust risk projects at 0%, below the position median — the model has a tight grade. The room had him #70 pre-draft; our board sat 25 spots lower.

Written from the live model's numbers — projected to round 3, and it updates whenever the model does. See methodology for what drives the take.

Draftanomics Pick?
#95
Day 2range #39–#216 · volatile
Bust Probability?
0%
0.00× EDGE / DL / LB class avg (20%)
safer than class avg
Model trust: MODERATE
Actual NFL Pick?
#130
PHI · Rd 4
Career Outcome · 8 seasons?
54.0
6.8 / season avg
Career outlook

Career outlook

How this is built →
5-year career arc
Elite
46%
Bust
1%
Starter
39%
Role
14%

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
$13.3M/yr
3 years, $40M total.
We projected $18.4M/yr on draft night — richer than the market paid.
Bust risk
0%
from a model with a graded track record at this positionsecond opinion: 0 of 5 closest historical comps busted (0%)
Public-board consensus

17 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 higher than NFL — outcome pending
Gap (actual − predicted)
+35

Film

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

Working in his favor: athleticism (combine), age, and production trajectory. Nothing in the profile pulled the grade down.

Athleticism
+0.03
Age
+0.02
Production trajectory
+0.02
HS recruit rating
+0.02
Age-adjusted production
-0.02
Scout consensus
-0.02

Model read

Model grade
0.53 of 1
Confidence?
99%
Predicted round
3

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?
7
/ peak 43
Solid starter / role player
Across 7 NFL seasons.
4-tier outlook?
Elite
Model sees a real shot at Pro-Bowl-level career
Model trust: MODERATE
Elite
46%
Starter
39%
Role
14%
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.

Model market value
$18.4M
($9.0M – $27.7M)
top-third at position
Actual: $13.3M(+$5.0M)
Model-predicted second-deal AAV ($M/yr).

Career trajectory + forecast

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

0%25%50%75%100%Y1Y2Y3Y4Y5Y6Y7Y8
Actual Forecast (comp-based)
Risk dashboard

Risk profile is clean

Risk score12· CLEAN

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

  • Predicted-pick range#39–216 · 177-pick spread
    The model's own projections scatter widely for this prospect — the landing spot is genuinely uncertain.
  • Bust probability0%
    Low bust risk by the model's read.
  • Age21.1 yrs
    Within the typical EDGE draft-age band (~23.5).
  • Public-board coverage17 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
No risk flags raised.
Reasons to buy
Strong comp group
high
4 of 5 closest comps with NFL outcomes became Starters or Franchise players: Joey Bosa, Shaq Lawson, Emmanuel Ogbah (+1 more). The historical neighborhood overwhelmingly produced NFL contributors.
Scheme context
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Teams likely to draft

Based on each team's roster depth at EDGE / DL / LB, age, and recent capital invested.

SF#1 fit
Need at positionComfortableQuality starters6Roster spots short1Recent picks spent hereLittle
KC#2 fit
Need at positionComfortableQuality starters8Roster spots short0Recent picks spent hereLittle
TB#3 fit
Need at positionComfortableQuality starters11Roster spots short0Recent picks spent hereLittle
ARI#4 fit
Need at positionComfortableQuality starters9Roster spots short0Recent picks spent hereHeavy
IND#5 fit
Need at positionComfortableQuality starters9Roster spots short0Recent picks spent hereHeavy

Historical comps

Side-by-side with top comps →

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

PlayerPosYearPickSnap trajectoryCareer arcDistance
Joey BosaEDGE2016#3
→2 pts
Starter1.48
Shaq LawsonEDGE2016#19
↓8 pts
Starter1.51
Charles TapperEDGE2016#101
→0 pts
Bust1.64
Emmanuel OgbahEDGE2016#32
→0 pts
Starter1.79
Danielle HunterEDGE2015#88
↑8 pts
Franchise1.81
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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