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Devin Mccuin

#14Devin Mccuin

WR·UTSA·2025

Devin Mccuin is a Versatile WR for UTSA. Devin's 2025 season ranks in the 88th percentile nationally by opponent-adjusted EPA per play across 86 plays — a above-average rate for the WR.

2026 Usage Outlook · projected share of team plays

9%
projected
band 5%'25 11%13%

Regressed toward the WR mean. Model correlation r≈0.47 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
65 Receptions726 Rec yards8 Rec TD11.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
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)88th %ile · above avg
Game-to-game consistency62th %ile · average
Key findings
  • Above-average efficiency for the WR position (88th percentile).
  • 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 — 0.20 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 ↗
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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Zach AbeyNavy2016700.3700.825.9
Eli HeidenreichNavy2024660.3400.722.4
Micah DavisAir Force2021440.3700.616.3
JoJo NatsonUtah State2014510.3901.019.9
Dane KinamonAir Force2021390.4100.716.0

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

Game Log · box score + EPA, week by week

Wk 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: +0.62 EPA/play10Wk 11 vs South Florida: -0.25 EPA/play11Wk 12 vs Charlotte: +0.64 EPA/play12Wk 14 vs Army: +0.17 EPA/play14Wk 1 vs Florida International: +0.64 EPA/play1
EPA per play, by 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
10vsTulaneW48-266.389612.02350.62
11@South FloridaL23-5511.6273.508-0.25
12@CharlotteW28-7-26.7710014.31450.64
14vsArmyL24-270.878612.30360.17
1vsFlorida InternationalW57-20-10.567312.21230.64

Usage & Situational · Pro

Snap-share proxy
Overall
10.9%
Passing plays
20.8%
Rushing plays
0.5%
Standard downs
11.2%
Passing downs
10.2%
EPA by down type
Standard downs
0.19
Passing downs
0.98
Pass / Rush EPA
0.42 / -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.