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Josh Cuevas

#80Josh Cuevas

Josh Cuevas is a Versatile TE for Alabama. Josh's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 51 plays — a elite rate for the TE.

2026 Usage Outlook · projected share of team plays

5%
projected
band 3%'25 7%7%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
37 Receptions411 Rec yards4 Rec TD11.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
Player type
Versatile TE

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 TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 2.00 EPA/play in Wk 2 vs UL Monroe (SP+ -22).

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 · TE · 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
Ty ThompsonTulane2024480.4200.420.2
Seth GreenMinnesota2018830.3900.032.4
Johnny LanganRutgers2020590.3000.017.7
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9

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 Florida State: +0.62 EPA/play1Wk 2 vs UL Monroe: +2.00 EPA/play2Wk 3 vs Wisconsin: +0.25 EPA/play3Wk 5 vs Georgia: +0.53 EPA/play5Wk 6 vs Vanderbilt: +0.38 EPA/play6Wk 7 vs Missouri: -0.06 EPA/play7Wk 8 vs Tennessee: +0.86 EPA/play8Wk 9 vs South Carolina: +1.82 EPA/play9Wk 11 vs LSU: +0.77 EPA/play11Wk 12 vs Oklahoma: +0.72 EPA/play12Wk 1 vs Indiana: -0.01 EPA/play1Wk 1 vs Oklahoma: -0.01 EPA/play1
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Florida StateL17-317.233110.31270.62
2vsUL MonroeW73-0-21.62147.01112.00
3vsWisconsinW38-14-4.43227.3090.25
5@GeorgiaW24-2124.122412.00120.53
6vsVanderbiltW30-1420.333511.70180.38
7@MissouriW27-2414.422814.0021-0.06
8vsTennesseeW37-2015.023316.50180.86
9@South CarolinaW29-225.93165.3181.82
11vsLSUW20-910.345814.50320.77
12vsOklahomaL21-2318.368013.31250.72
1vsIndianaL3-3832.44358.8016-0.01
1@OklahomaW34-2418.333511.7023-0.01

Usage & Situational · Pro

Snap-share proxy
Overall
6.7%
Passing plays
11.8%
Rushing plays
0.3%
Standard downs
7.0%
Passing downs
6.1%
EPA by down type
Standard downs
0.48
Passing downs
0.63
Pass / Rush EPA
0.52 / 0.71

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.