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Derrick Avery Jr.
Derrick Avery Jr.

#13Derrick Avery Jr.

Derrick Avery Jr. is a Red Zone Weapon WR for Georgia State.

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 Derrick Avery 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.

2025 Production

Receiving
4 Receptions46 Rec yards1 Rec TD11.5 Yards/rec

Air yards

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

7
Targets
6.4y
Avg depth
2.2y
After catch
71%
Catch rate

The ball travels 6.4 yards in the air on an average target 2.6 yards shorter than the median. Another 2.2 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
1
100% · 27y
short
1
100% · 8y
2
0% · 0y
3
100% · 12y
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 · 2025 · vs WR peers

  • Efficiency0
  • Volume8
  • Explosiveness30
  • Consistency73
  • Pass-Down76
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency73th %ile · average
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.47 EPA/play in Wk 14 vs Old Dominion (SP+ 6).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Amare JonesTulane0.2300.813.3
Eli HeidenreichNavy0.2200.815.4
Justin LynchNorthern Illinois0.2300.715.2

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

Game Log · box score + EPA, week by week

+0.4700.47Wk 8 vs Georgia Southern: +0.02 EPA/play8Wk 13 vs Troy: +0.13 EPA/play13Wk 14 vs Old Dominion: +0.47 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
8@Georgia SouthernL24-41-9.4177.0070.02
13@TroyL19-31-4.812020.00200.13
14@Old DominionL10-275.92199.51150.47

Usage & Situational · Pro

Snap-share proxy
Overall
2.7%
Passing plays
5.0%
Rushing plays
0.0%
Standard downs
2.1%
Passing downs
3.9%
EPA by down type
Standard downs
-0.04
Passing downs
0.11
Pass / Rush EPA
0.03 / —

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.