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DeAndre Moore Jr.
DeAndre Moore Jr.

#3DeAndre Moore Jr.

DeAndre Moore Jr. is a Vertical Threat WR for Colorado.

What projects, and what doesn't · WRs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So DeAndre Moore Jr.'s projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2026 Production

Receiving
8 Receptions144 Rec yards1 Rec TD18.0 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

9
Targets
9.1y
Avg depth
4.2y
After catch
44%
Catch rate

The ball travels 9.1 yards in the air on an average target about the median for the position. Another 4.2 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
0
short
2
0% · 0y
5
80% · 37y
2
0% · 0y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2026 · vs WR peers

  • Efficiency100
  • Volume28
  • Explosiveness73
  • Consistency50
  • Pass-Down100
Player type
Vertical Threat WR

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.07 EPA/play in Wk 2 vs Weber State.

NIL Market Tier· 2026

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Savion WilliamsTCU0.4501.125.2
Dane KinamonAir Force0.4100.716.0
DeAndre HughesAir Force0.4701.328.2
Quadree HendersonPittsburgh0.5301.633.4
Javion PoseyFlorida Atlantic0.4501.423.8

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+1.0701.07Wk 1 vs Georgia Tech: +0.18 EPA/play1Wk 2 vs Weber State: +1.07 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Georgia TechW14-131.74379.30150.18
2vsWeber StateW52-21410726.81661.07

Usage & Situational · Pro

Snap-share proxy
Overall
9.9%
Passing plays
23.4%
Rushing plays
0.0%
Standard downs
11.1%
Passing downs
7.7%
EPA by down type
Standard downs
0.38
Passing downs
0.97
Pass / Rush EPA
0.54 / —

Usage = share of team plays (CFBD has no true snap counts).

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.