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Caden Jensen

#88Caden Jensen

Caden Jensen is a Slot Specialist TE for Louisiana. Caden's 2025 season produced 3.0 total EPA across 41 plays.

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 Caden Jensen'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
29 Receptions231 Rec yards1 Rec TD8.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume18
  • Explosiveness6
  • Consistency6
  • Pass-Down53
Player type
Slot Specialist TE

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency6th %ile · below 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 variance — boom-or-bust profile.
  • Strong second-half surge — EPA/play improved 0.54 from the first to second half of the season.
  • Peak game: 0.39 EPA/play in Wk 13 vs Arkansas State (SP+ -9).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Robby PreckelNorthwestern0.0600.12.5
A.J. DoyleMassachusetts0.0400.02.1
Blake BellOklahoma0.0700.14.4
Jaheim BellSouth Carolina0.1100.08.0
Kaden FeaginIllinois0.1500.07.8

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

Game Log · box score + EPA, week by week

+0.6200.62Wk 1 vs Rice: -0.62 EPA/play1Wk 2 vs McNeese: -0.20 EPA/play2Wk 3 vs Missouri: -0.35 EPA/play3Wk 4 vs Eastern Michigan: -0.34 EPA/play4Wk 7 vs James Madison: -0.27 EPA/play7Wk 8 vs Southern Miss: +0.39 EPA/play8Wk 11 vs Texas State: +0.33 EPA/play11Wk 13 vs Arkansas State: +0.39 EPA/play13Wk 14 vs UL Monroe: -0.35 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsRiceL12-14-14.8144.004-0.62
2vsMcNeeseW34-10393.005-0.20
3@MissouriL10-5214.4155.005-0.35
4@Eastern MichiganL31-34-14.7284.005-0.34
7@James MadisonL14-2412.3252.505-0.27
8vsSouthern MissL10-22-7.15459.00180.39
11vsTexas StateW42-392.33289.31270.33
13@Arkansas StateW34-30-8.84348.50170.39
14vsUL MonroeW30-27-21.64215.3011-0.35
20vsDelawareL13-20-10.947218.0040

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
14.9%
Rushing plays
0.0%
Standard downs
4.9%
Passing downs
9.2%
EPA by down type
Standard downs
0.06
Passing downs
0.08
Pass / Rush EPA
0.07 / —

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.