Skip to content
Brett Eskildsen

#4Brett Eskildsen

Brett Eskildsen is a Slot Specialist WR for Iowa State. Brett's 2025 season produced 23.6 total EPA across 47 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 Brett Eskildsen'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
30 Receptions526 Rec yards5 Rec TD17.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume16
  • Explosiveness70
  • Consistency69
  • Pass-Down67
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency69th %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: 1.91 EPA/play in Wk 1 vs South Dakota.

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
Dane KinamonAir Force0.4100.716.0
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
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

+1.9101.91Wk 1 vs South Dakota: +1.91 EPA/play1Wk 2 vs Iowa: -0.10 EPA/play2Wk 5 vs Arizona: +1.11 EPA/play5Wk 6 vs Cincinnati: +0.57 EPA/play6Wk 7 vs Colorado: -0.27 EPA/play7Wk 9 vs BYU: +0.99 EPA/play9Wk 10 vs Arizona State: -0.37 EPA/play10Wk 11 vs TCU: +0.77 EPA/play11Wk 13 vs Kansas: +0.81 EPA/play13Wk 14 vs Oklahoma State: +1.85 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0vsKansas StateW24-217.034615.3124
1vsSouth DakotaW55-727738.50661.91
2vsIowaW16-1319.723919.5035-0.10
5vsArizonaW39-1412.035418.00451.11
6@CincinnatiL30-384.5810513.11410.57
7@ColoradoL17-24-8.32136.5010-0.27
9vsBYUL27-4115.917575.01750.99
10vsArizona StateL19-243.9155.005-0.37
11@TCUW20-178.312020.00200.77
13vsKansasW38-144.167312.22200.81
14@Oklahoma StateW20-13-15.111919.00191.85

Usage & Situational · Pro

Snap-share proxy
Overall
5.7%
Passing plays
13.0%
Rushing plays
0.0%
Standard downs
4.7%
Passing downs
8.2%
EPA by down type
Standard downs
0.46
Passing downs
0.56
Pass / Rush EPA
0.50 / —

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.