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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 52 plays — a elite rate for the TE.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Josh Cuevas'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
37 Receptions411 Rec yards4 Rec TD11.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume19
  • Explosiveness27
  • Consistency77
  • Pass-Down100
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 consistency77th %ile · above avg
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.
  • Strong second-half surge — EPA/play improved 0.52 from the first to second half of the season.
  • 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 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+2.0002.00Wk 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: +1.11 EPA/play12
EPA per play · x-axis: 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
12vsOklahomaL21-2318.368013.31251.11
20vsIndianaL3-3832.44358.8016
20@OklahomaW34-2418.333511.7023

Usage & Situational · Pro

Snap-share proxy
Overall
6.8%
Passing plays
12.0%
Rushing plays
0.3%
Standard downs
7.0%
Passing downs
6.5%
EPA by down type
Standard downs
0.48
Passing downs
0.80
Pass / Rush EPA
0.57 / 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.