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Braeden Wisloski
Braeden Wisloski

#10Braeden Wisloski

Braeden Wisloski is a Versatile WR for James Madison. Braeden's 2025 season produced 9.6 total EPA across 40 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 Braeden Wisloski'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 Receptions358 Rec yards4 Rec TD13.8 Yards/rec
Returns
6 Kick returns98 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness45
  • Consistency24
  • Pass-Down0
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 consistency24th %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.
  • Strong second-half surge — EPA/play improved 0.94 from the first to second half of the season.
  • Peak game: 1.32 EPA/play in Wk 10 vs Texas State (SP+ 2).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Tyler BuchnerNotre Dame0.2500.312.8
Samajie GrantArizona0.2500.315.5
Justin LynchTemple0.2400.315.1
Brandon ChatmanNavy0.2300.612.0
Amare JonesTulane0.2300.813.3

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

Game Log · box score + EPA, week by week

+1.3201.32Wk 1 vs Weber State: -0.14 EPA/play1Wk 4 vs Liberty: -0.47 EPA/play4Wk 5 vs Georgia Southern: -0.94 EPA/play5Wk 7 vs Louisiana: +0.68 EPA/play7Wk 8 vs Old Dominion: -0.36 EPA/play8Wk 10 vs Texas State: +1.32 EPA/play10Wk 11 vs Marshall: +0.45 EPA/play11Wk 12 vs App State: +0.12 EPA/play12Wk 13 vs Washington State: +1.32 EPA/play13Wk 14 vs Coastal Carolina: +0.37 EPA/play14Wk 15 vs Troy: +0.62 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsWeber StateW45-10133.003-0.14
2@LouisvilleL14-2812.4
4@LibertyW31-13-9.0111.001-0.47
5vsGeorgia SouthernW35-10-9.4-0.94
6@Georgia StateW14-7-24.5
7vsLouisianaW24-14-10.17699.90310.68
8vsOld DominionW63-275.9133.003-0.36
10@Texas StateW52-202.312626.00261.32
11@MarshallW35-23-4.512626.01260.45
12vsApp StateW58-10-11.411515.00150.12
13vsWashington StateW24-203.816868.01681.32
14@Coastal CarolinaW59-10-15.146416.01390.37
15vsTroyW31-14-4.823115.51260.62
20@OregonL34-5125.96528.7032

Usage & Situational · Pro

Snap-share proxy
Overall
5.3%
Passing plays
13.2%
Rushing plays
0.2%
Standard downs
5.4%
Passing downs
5.0%
EPA by down type
Standard downs
0.45
Passing downs
-0.20
Pass / Rush EPA
0.24 / —

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.