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Cortez Mills Jr.
Cortez Mills Jr.

#19Cortez Mills Jr.

Cortez Mills Jr. is a Versatile WR for Nebraska.

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 Cortez Mills Jr.'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
9 Receptions147 Rec yards1 Rec TD16.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume7
  • Explosiveness62
  • Consistency79
  • 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 consistency79th %ile · above avg
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.
  • 5 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 — 0.95 EPA/play decline from first to second half.
  • Peak game: 2.00 EPA/play in Wk 4 vs Michigan (SP+ 12).

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
Tyler BuchnerNotre Dame0.2500.312.8
Ainias SmithTexas A&M0.3100.517.0

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

Game Log · box score + EPA, week by week

+2.0002.00Wk 1 vs Cincinnati: +1.86 EPA/play1Wk 2 vs Akron: +0.40 EPA/play2Wk 3 vs Houston Christian: +1.81 EPA/play3Wk 4 vs Michigan: +2.00 EPA/play4Wk 6 vs Michigan State: +0.97 EPA/play6Wk 13 vs Penn State: -0.15 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCincinnatiW20-174.511313.00131.86
2vsAkronW68-0-13.9177.0070.40
3vsHouston ChristianW59-739832.71621.81
4vsMichiganL27-3012.411010.00102.00
6vsMichigan StateW38-27-3.411010.00100.97
8@MinnesotaL6-241.5144.004
13@Penn StateL10-3718.1155.005-0.15

Usage & Situational · Pro

Snap-share proxy
Overall
2.3%
Passing plays
4.5%
Rushing plays
0.0%
Standard downs
2.4%
Passing downs
1.9%
EPA by down type
Standard downs
-0.17
Passing downs
1.93
Pass / Rush EPA
0.30 / —

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.