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Jacob De Jesus

#21Jacob De Jesus

Jacob De Jesus is a Versatile WR for California. Jacob's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 165 plays — a elite rate for the WR.

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 Jacob De Jesus'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
107 Receptions1022 Rec yards6 Rec TD9.6 Yards/rec
Returns
18 Kick returns363 KR yards0 KR TD22 Punt returns259 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume51
  • Explosiveness17
  • Consistency76
  • Pass-Down40
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 consistency76th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.22 from the first to second half of the season.
  • Peak game: 0.70 EPA/play in Wk 14 vs SMU (SP+ 13).

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
Shai WertsGeorgia Southern0.3101.039.7
Zach AbeyNavy0.3702.146.6
Jerrod HeardTexas0.2901.633.6
Shai WertsGeorgia Southern0.3602.351.8
Shane TuckerMiddle Tennessee0.3201.631.0

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

Game Log · box score + EPA, week by week

+0.7000.70Wk 1 vs Oregon State: -0.12 EPA/play1Wk 2 vs Texas Southern: +0.37 EPA/play2Wk 3 vs Minnesota: -0.06 EPA/play3Wk 4 vs San Diego State: +0.35 EPA/play4Wk 5 vs Boston College: +0.14 EPA/play5Wk 6 vs Duke: +0.64 EPA/play6Wk 8 vs North Carolina: +0.50 EPA/play8Wk 9 vs Virginia Tech: +0.57 EPA/play9Wk 10 vs Virginia: +0.43 EPA/play10Wk 11 vs Louisville: +0.49 EPA/play11Wk 13 vs Stanford: +0.02 EPA/play13Wk 14 vs SMU: +0.70 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Oregon StateW34-15-15.94266.508-0.12
2vsTexas SouthernW35-356112.20270.37
3vsMinnesotaW27-141.57547.7119-0.06
4@San Diego StateL0-346.733511.70220.35
5@Boston CollegeW28-24-8.58617.61120.14
6vsDukeL21-456.66569.30300.64
8vsNorth CarolinaW21-18-6.6131058.11230.50
9@Virginia TechL34-42-10.188610.80380.57
10vsVirginiaL21-3111.124924.50300.43
11@LouisvilleW29-2612.4161589.91250.49
13@StanfordL10-31-11.814966.90160.02
14vsSMUW38-3513.412978.11200.70
20@Hawai'iL31-351.7913815.3141

Usage & Situational · Pro

Snap-share proxy
Overall
17.9%
Passing plays
28.9%
Rushing plays
1.9%
Standard downs
15.4%
Passing downs
23.2%
EPA by down type
Standard downs
0.40
Passing downs
0.34
Pass / Rush EPA
0.41 / -0.22

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.
Jacob De Jesus Stats, EPA & Player Profile — California · Gridpex