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Jalen Cooper

#10Jalen Cooper

WR·SMU·2025

Jalen Cooper is a Versatile WR for SMU. Jalen's 2025 season produced 9.7 total EPA across 31 plays.

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 Jalen Cooper'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
19 Receptions321 Rec yards2 Rec TD16.9 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness66
  • Consistency57
  • 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)100th %ile · elite
Game-to-game consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 1.26 EPA/play decline from first to second half.
  • Peak game: 2.46 EPA/play in Wk 2 vs Baylor (SP+ 1).

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
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Cade HarrisAir Force0.3300.514.8
Ainias SmithTexas A&M0.3100.517.0
Xavier WhiteTexas Tech0.3000.518.6

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

Game Log · box score + EPA, week by week

+2.4602.46Wk 1 vs East Texas A&M: +1.01 EPA/play1Wk 2 vs Baylor: +2.46 EPA/play2Wk 3 vs Missouri State: +0.41 EPA/play3Wk 4 vs TCU: -0.07 EPA/play4Wk 6 vs Syracuse: +0.41 EPA/play6Wk 14 vs California: -0.34 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast Texas A&MW42-1357314.61381.01
2vsBaylorL45-481.428944.51752.46
3@Missouri StateW28-10-10.756813.60370.41
4@TCUL24-358.311313.0013-0.07
6vsSyracuseW31-18-13.122814.00230.41
14@CaliforniaL35-38-3.2199.009-0.34
20vsArizonaW24-1912.034113.7031

Usage & Situational · Pro

Snap-share proxy
Overall
4.8%
Passing plays
9.1%
Rushing plays
0.0%
Standard downs
5.3%
Passing downs
3.5%
EPA by down type
Standard downs
0.19
Passing downs
0.75
Pass / Rush EPA
0.31 / —

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.