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Karsyn Pupunu

#11Karsyn Pupunu

Karsyn Pupunu is a Versatile WR for Hawai'i. Karsyn's 2025 season produced 20.1 total EPA across 45 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 Karsyn Pupunu'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
33 Receptions306 Rec yards0 Rec TD9.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness15
  • Consistency66
  • 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 consistency66th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.81 EPA/play in Wk 14 vs Wyoming (SP+ -11).

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3700.615.2
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+1.8101.81Wk 1 vs Arizona: +0.32 EPA/play1Wk 2 vs Sam Houston: +1.05 EPA/play2Wk 3 vs Portland State: +0.58 EPA/play3Wk 4 vs Fresno State: -0.11 EPA/play4Wk 5 vs Air Force: +0.64 EPA/play5Wk 7 vs Utah State: +0.18 EPA/play7Wk 8 vs Colorado State: +0.34 EPA/play8Wk 10 vs San José State: +0.38 EPA/play10Wk 13 vs UNLV: -0.21 EPA/play13Wk 14 vs Wyoming: +1.81 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsStanfordW23-20-11.8177.007
1@ArizonaL6-4012.03248.00110.32
2vsSam HoustonW37-20-27.844310.80151.05
3vsPortland StateW23-35408.00120.58
4vsFresno StateL21-231.83144.706-0.11
5@Air ForceW44-35-3.22157.5080.64
7vsUtah StateW44-26-3.12126.0070.18
8@Colorado StateW31-19-15.655611.20200.34
10@San José StateL38-45-14.33206.70100.38
13@UNLVL10-384.3188.008-0.21
14vsWyomingW27-7-11.311717.00171.81
20vsCaliforniaW35-31-3.235016.7022

Usage & Situational · Pro

Snap-share proxy
Overall
5.2%
Passing plays
8.5%
Rushing plays
0.0%
Standard downs
4.6%
Passing downs
6.5%
EPA by down type
Standard downs
0.11
Passing downs
0.91
Pass / Rush EPA
0.45 / —

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.