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Kaden Wetjen

#21Kaden Wetjen

WR·Iowa·2025

Kaden Wetjen is a Versatile WR for Iowa. Kaden's 2025 season produced 3.5 total EPA across 40 plays.

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 Kaden Wetjen'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

Rushing
79 Rush yards2 Rush TD15 Carries5.3 Yards/carry
Receiving
20 Receptions151 Rec yards1 Rec TD7.5 Yards/rec
Returns
16 Kick returns476 KR yards1 KR TD21 Punt returns563 PR yards3 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency33
  • Volume15
  • Explosiveness4
  • Consistency23
  • Pass-Down0
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)33th %ile · below avg
Game-to-game consistency23th %ile · below avg
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 1.34 EPA/play decline from first to second half.
  • Peak game: 2.85 EPA/play in Wk 1 vs UAlbany.

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 · 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Hyleck FosterMarshall0.1800.518.2
Eli HeidenreichNavy0.2200.815.4
Davis BrysonKennesaw State0.2000.019.4

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

Game Log · box score + EPA, week by week

+2.8502.85Wk 1 vs UAlbany: +2.85 EPA/play1Wk 2 vs Iowa State: -0.03 EPA/play2Wk 3 vs Massachusetts: +2.62 EPA/play3Wk 4 vs Rutgers: +0.55 EPA/play4Wk 5 vs Indiana: +0.65 EPA/play5Wk 7 vs Wisconsin: -0.26 EPA/play7Wk 8 vs Penn State: +0.26 EPA/play8Wk 9 vs Minnesota: +0.66 EPA/play9Wk 11 vs Oregon: -0.77 EPA/play11Wk 12 vs USC: -0.34 EPA/play12Wk 13 vs Michigan State: -0.24 EPA/play13Wk 14 vs Nebraska: -0.69 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsUAlbanyW34-7122.0122.85
2@Iowa StateL13-169.9144.004-0.03
3vsMassachusettsW47-7-36.62.62
4@RutgersW38-281.022010.00170.55
5vsIndianaL15-2032.44297.30190.65
7@WisconsinW37-0-4.4341.303-0.26
8vsPenn StateW25-2418.122110.50120.26
9vsMinnesotaW41-31.534916.30280.66
11vsOregonL16-1825.9133.003-0.77
12@USCL21-2616.93196.3014-0.34
13vsMichigan StateW20-17-3.4-0.24
14@NebraskaW40-166.2-0.69
20vsVanderbiltW34-2720.3

Usage & Situational · Pro

Snap-share proxy
Overall
5.2%
Passing plays
8.6%
Rushing plays
3.1%
Standard downs
4.8%
Passing downs
6.4%
EPA by down type
Standard downs
0.31
Passing downs
-0.38
Pass / Rush EPA
0.17 / -0.04

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.