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Devin Mccuin

#3Devin Mccuin

WR·UTSA·2025

Devin Mccuin is a Versatile WR for UTSA. Devin's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 88 plays — a elite rate for the WR.

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 Devin Mccuin'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
65 Receptions726 Rec yards8 Rec TD11.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume31
  • Explosiveness28
  • Consistency60
  • 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 consistency60th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 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 — 0.17 EPA/play decline from first to second half.
  • Peak game: 1.76 EPA/play in Wk 7 vs Rice (SP+ -15).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Zach AbeyNavy0.3700.825.9
DeAndre HughesAir Force0.4701.328.2
Dane KinamonAir Force0.4100.716.0

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

Game Log · box score + EPA, week by week

+1.7601.76Wk 1 vs Texas A&M: -0.28 EPA/play1Wk 2 vs Texas State: +0.03 EPA/play2Wk 3 vs Incarnate Word: +0.86 EPA/play3Wk 4 vs Colorado State: +0.36 EPA/play4Wk 6 vs Temple: +0.37 EPA/play6Wk 7 vs Rice: +1.76 EPA/play7Wk 8 vs North Texas: +0.08 EPA/play8Wk 10 vs Tulane: +1.11 EPA/play10Wk 11 vs South Florida: -0.25 EPA/play11Wk 12 vs Charlotte: +0.64 EPA/play12Wk 14 vs Army: +0.17 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Texas A&ML24-4220.76335.5013-0.28
2vsTexas StateL36-432.358316.60420.03
3vsIncarnate WordW48-207517.32240.86
4@Colorado StateW17-16-15.645012.50160.36
6@TempleL21-27-5.166010.01180.37
7vsRiceW61-13-14.836421.31521.76
8@North TexasL17-5513.84235.8090.08
10vsTulaneW48-266.389612.02351.11
11@South FloridaL23-5511.6273.508-0.25
12@CharlotteW28-7-26.7710014.31450.64
14vsArmyL24-270.878612.30360.17
20vsFlorida InternationalW57-20-10.567312.2123

Usage & Situational · Pro

Snap-share proxy
Overall
11.0%
Passing plays
21.0%
Rushing plays
0.5%
Standard downs
11.5%
Passing downs
10.1%
EPA by down type
Standard downs
0.26
Passing downs
0.98
Pass / Rush EPA
0.47 / -0.09

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.