Skip to content
Jean Louis III

#9Jean Louis III

WR·Akron·2025

Jean Louis III is a Slot Specialist WR for Akron.

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 Jean Louis 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
6 Receptions85 Rec yards0 Rec TD14.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume13
  • Explosiveness48
  • Consistency54
  • Pass-Down0
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency54th %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.
  • Peak game: 2.88 EPA/play in Wk 11 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
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Amare JonesTulane0.1800.012.8
Shai WertsGeorgia Southern0.1500.024.2
Davis BrysonKennesaw State0.2000.019.4

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

Game Log · box score + EPA, week by week

+2.8802.88Wk 4 vs Duquesne: -0.09 EPA/play4Wk 11 vs Massachusetts: +2.88 EPA/play11Wk 12 vs Kent State: -0.07 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
4vsDuquesneW51-7188.008-0.09
11vsMassachusettsW44-10-36.612121.00212.88
12vsKent StateL35-42-19.345614.0024-0.07

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
9.1%
Rushing plays
0.0%
Standard downs
3.2%
Passing downs
7.3%
EPA by down type
Standard downs
0.15
Passing downs
-0.17
Pass / Rush EPA
-0.01 / —

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.