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Jake Thaw

#15Jake Thaw

Jake Thaw is a Versatile WR for Delaware. Jake's 2025 season produced 16.5 total EPA across 46 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 Jake Thaw'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
31 Receptions359 Rec yards3 Rec TD11.6 Yards/rec
Returns
1 Kick returns9 KR yards0 KR TD3 Punt returns21 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness31
  • Consistency0
  • Pass-Down100
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)100th %ile · elite
Game-to-game consistency0th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.36 EPA/play decline from first to second half.
  • Peak game: 1.64 EPA/play in Wk 1 vs Delaware State.

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 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Micah DavisAir Force0.3700.616.3
Cade HarrisAir Force0.3300.514.8
Keytaon ThompsonVirginia0.3700.615.2
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+2.3402.34Wk 1 vs Delaware State: +1.64 EPA/play1Wk 2 vs Colorado: +1.52 EPA/play2Wk 6 vs Western Kentucky: +1.13 EPA/play6Wk 8 vs Jacksonville State: -2.34 EPA/play8Wk 9 vs Middle Tennessee: -0.25 EPA/play9Wk 10 vs Liberty: -0.66 EPA/play10Wk 12 vs Sam Houston: -0.28 EPA/play12Wk 13 vs Wake Forest: +0.60 EPA/play13Wk 14 vs UTEP: +0.87 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsDelaware StateW35-1779213.11501.64
2@ColoradoL7-31-8.348521.30451.52
6vsWestern KentuckyL24-271.645513.80331.13
8@Jacksonville StateL25-38-6.7242.002-2.34
9vsMiddle TennesseeW31-28-16.02136.507-0.25
10@LibertyL30-59-9.0155.005-0.66
12vsSam HoustonL23-26-27.83103.304-0.28
13@Wake ForestL14-525.73237.70150.60
14vsUTEPW61-31-17.557214.42510.87

Usage & Situational · Pro

Snap-share proxy
Overall
6.5%
Passing plays
10.6%
Rushing plays
0.3%
Standard downs
5.6%
Passing downs
8.3%
EPA by down type
Standard downs
0.10
Passing downs
0.77
Pass / Rush EPA
0.53 / -7.37

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.