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Gary Givens III

#7Gary Givens III

Gary Givens III is a Versatile WR for Northern Illinois.

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 Gary Givens III'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
12 Receptions145 Rec yards1 Rec TD12.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume15
  • Explosiveness34
  • Consistency43
  • Pass-Down0
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency43th %ile · below avg
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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.31 from the first to second half of the season.
  • Peak game: 2.84 EPA/play in Wk 12 vs Massachusetts (SP+ -37).

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
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Davis BrysonKennesaw State0.2000.019.4
Brandon ChatmanNavy0.2300.612.0

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

Game Log · box score + EPA, week by week

+2.8402.84Wk 2 vs Maryland: +0.74 EPA/play2Wk 4 vs Mississippi State: +0.86 EPA/play4Wk 7 vs Eastern Michigan: -0.14 EPA/play7Wk 8 vs Ohio: -0.04 EPA/play8Wk 9 vs Ball State: +0.08 EPA/play9Wk 12 vs Massachusetts: +2.84 EPA/play12Wk 13 vs Western Michigan: -0.53 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@MarylandL9-200.622613.00150.74
4@Mississippi StateL10-384.111919.00190.86
7@Eastern MichiganL10-16-14.734214.0021-0.14
8@OhioL21-48-4.03124.006-0.04
9vsBall StateW21-7-23.011111.00110.08
12@MassachusettsW45-3-36.613131.01312.84
13vsWestern MichiganL19-35-1.4144.004-0.53

Usage & Situational · Pro

Snap-share proxy
Overall
5.3%
Passing plays
16.1%
Rushing plays
0.0%
Standard downs
4.5%
Passing downs
7.0%
EPA by down type
Standard downs
0.14
Passing downs
-0.31
Pass / Rush EPA
-0.06 / —

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.