Skip to content
Rahji Dennis

#2Rahji Dennis

Rahji Dennis is a Versatile WR for Louisiana.

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 Rahji Dennis'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
5 Receptions29 Rec yards0 Rec TD5.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency67
  • Volume6
  • Explosiveness0
  • Consistency0
  • Pass-Down100
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)67th %ile · average
Game-to-game consistency0th %ile · below avg
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.97 EPA/play in Wk 5 vs Marshall (SP+ -5).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Justin LynchTemple0.2400.315.1
Samajie GrantArizona0.2500.315.5
Amare JonesTulane0.2300.813.3

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

Game Log · box score + EPA, week by week

+1.0501.05Wk 2 vs McNeese: +0.12 EPA/play2Wk 3 vs Missouri: -1.05 EPA/play3Wk 4 vs Eastern Michigan: +0.56 EPA/play4Wk 5 vs Marshall: +0.97 EPA/play5
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsMcNeeseW34-10122.0020.12
3@MissouriL10-5214.41-1-1.00-1-1.05
4@Eastern MichiganL31-34-14.7177.0070.56
5vsMarshallW54-51-4.511616.00160.97
20vsDelawareL13-20-10.9155.005

Usage & Situational · Pro

Snap-share proxy
Overall
2.2%
Passing plays
5.0%
Rushing plays
0.0%
Standard downs
2.8%
Passing downs
0.8%
EPA by down type
Standard downs
-0.08
Passing downs
2.25
Pass / Rush EPA
0.21 / —

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.