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Jahlil McClain

#1Jahlil McClain

Jahlil McClain is a Versatile WR for Fresno 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 Jahlil McClain'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
13 Receptions169 Rec yards1 Rec TD13.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness40
  • Consistency71
  • Pass-Down34
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)100th %ile · elite
Game-to-game consistency71th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • Peak game: 1.90 EPA/play in Wk 13 vs Utah State (SP+ -3).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
JoJo NatsonUtah State0.3901.019.9
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+1.9001.90Wk 3 vs Southern: +0.28 EPA/play3Wk 4 vs Hawai'i: +1.17 EPA/play4Wk 7 vs Colorado State: +0.19 EPA/play7Wk 9 vs San Diego State: +0.38 EPA/play9Wk 12 vs Wyoming: +0.12 EPA/play12Wk 13 vs Utah State: +1.90 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsGeorgia SouthernW42-14-9.4
3vsSouthernW56-72126.00120.28
4@Hawai'iW23-211.711111.00111.17
7@Colorado StateL21-49-15.634715.70330.19
9vsSan Diego StateL0-236.733411.30140.38
12vsWyomingW24-3-11.322010.00170.12
13vsUtah StateL17-28-3.124522.51431.90

Usage & Situational · Pro

Snap-share proxy
Overall
5.1%
Passing plays
9.7%
Rushing plays
0.0%
Standard downs
4.5%
Passing downs
6.4%
EPA by down type
Standard downs
0.48
Passing downs
0.39
Pass / Rush EPA
0.44 / —

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.