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Will Pauling

#2Will Pauling

Will Pauling is a Red Zone Weapon WR for Notre Dame. Will's 2025 season produced 22.9 total EPA across 43 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 Will Pauling'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
26 Receptions381 Rec yards6 Rec TD14.7 Yards/rec
Returns
1 Punt returns0 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness51
  • Consistency64
  • Pass-Down0
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency64th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 2.82 EPA/play in Wk 13 vs Syracuse (SP+ -13).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Quadree HendersonPittsburgh0.5301.633.4
Dane KinamonAir Force0.4100.716.0

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

Game Log · box score + EPA, week by week

+2.8202.82Wk 3 vs Texas A&M: +0.51 EPA/play3Wk 4 vs Purdue: +0.93 EPA/play4Wk 5 vs Arkansas: +1.34 EPA/play5Wk 6 vs Boise State: +0.07 EPA/play6Wk 7 vs NC State: +1.13 EPA/play7Wk 8 vs USC: -0.06 EPA/play8Wk 10 vs Boston College: +0.34 EPA/play10Wk 11 vs Navy: +0.52 EPA/play11Wk 12 vs Pittsburgh: -0.60 EPA/play12Wk 13 vs Syracuse: +2.82 EPA/play13Wk 14 vs Stanford: +0.87 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3vsTexas A&ML40-4120.72136.5080.51
4vsPurdueW56-30-6.122914.50210.93
5@ArkansasW56-135.135317.71231.34
6vsBoise StateW28-73.124321.51240.07
7vsNC StateW36-74.8410526.31421.13
8vsUSCW34-2416.92168.0110-0.06
10@Boston CollegeW25-10-8.547318.31440.34
11vsNavyW49-106.222914.50270.52
12@PittsburghW37-158.4362.003-0.60
13vsSyracuseW70-7-13.1166.0162.82
14@StanfordW49-20-11.8188.0080.87

Usage & Situational · Pro

Snap-share proxy
Overall
6.1%
Passing plays
14.3%
Rushing plays
0.0%
Standard downs
4.1%
Passing downs
10.5%
EPA by down type
Standard downs
0.80
Passing downs
0.30
Pass / Rush EPA
0.53 / —

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.