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Braden Pegan

#7Braden Pegan

Braden Pegan is a Versatile WR for Utah State. Braden's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 98 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 Braden Pegan'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
60 Receptions925 Rec yards5 Rec TD15.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume36
  • Explosiveness56
  • Consistency72
  • Pass-Down65
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 consistency72th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.22 EPA/play decline from first to second half.
  • Peak game: 1.70 EPA/play in Wk 3 vs Air Force (SP+ -3).

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
Quadree HendersonPittsburgh0.5301.633.4
Keytaon ThompsonMississippi State0.4601.232.2
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+1.7001.70Wk 1 vs UTEP: +0.08 EPA/play1Wk 2 vs Texas A&M: +0.07 EPA/play2Wk 3 vs Air Force: +1.70 EPA/play3Wk 4 vs McNeese: +1.24 EPA/play4Wk 5 vs Vanderbilt: +0.41 EPA/play5Wk 7 vs Hawai'i: +0.56 EPA/play7Wk 8 vs San José State: +0.98 EPA/play8Wk 9 vs New Mexico: +1.00 EPA/play9Wk 11 vs Nevada: +0.14 EPA/play11Wk 12 vs UNLV: +0.31 EPA/play12Wk 13 vs Fresno State: +0.52 EPA/play13Wk 14 vs Boise State: -0.21 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsUTEPW28-16-17.55387.60140.08
2@Texas A&ML22-4420.722311.51160.07
3vsAir ForceW49-30-3.2714721.02541.70
4vsMcNeeseW48-739531.70501.24
5@VanderbiltL35-5520.37669.41190.41
7@Hawai'iL26-441.738428.00530.56
8vsSan José StateW30-25-14.379313.30370.98
9@New MexicoL14-330.9510821.61541.00
11vsNevadaW51-14-13.435618.70430.14
12@UNLVL26-294.3810913.60300.31
13@Fresno StateW28-171.88799.90220.52
14vsBoise StateL24-253.122713.5020-0.21

Usage & Situational · Pro

Snap-share proxy
Overall
12.7%
Passing plays
24.1%
Rushing plays
1.0%
Standard downs
11.8%
Passing downs
14.6%
EPA by down type
Standard downs
0.53
Passing downs
0.62
Pass / Rush EPA
0.58 / 0.25

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.