Skip to content
Wyatt Wieland

#11Wyatt Wieland

Wyatt Wieland is a Versatile WR for Wyoming. Wyatt's 2023 season produced 40.8 total EPA across 48 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 Wyatt Wieland'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.

2023 Production

Receiving
44 Receptions480 Rec yards5 Rec TD10.9 Yards/rec
Returns
10 Kick returns92 KR yards0 KR TD

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume22
  • Explosiveness26
  • Consistency79
  • 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 consistency79th %ile · above 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 consistency — reliable floor each week.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.39 from the first to second half of the season.
  • Peak game: 3.19 EPA/play in Wk 12 vs Hawai'i (SP+ -16).

NIL Market Tier· 2023

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
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+3.1903.19Wk 1 vs Texas Tech: +0.51 EPA/play1Wk 2 vs Portland State: +1.47 EPA/play2Wk 3 vs Texas: +0.70 EPA/play3Wk 4 vs App State: +1.20 EPA/play4Wk 5 vs New Mexico: +0.39 EPA/play5Wk 6 vs Fresno State: +1.84 EPA/play6Wk 10 vs Colorado State: +0.28 EPA/play10Wk 11 vs UNLV: +0.92 EPA/play11Wk 12 vs Hawai'i: +3.19 EPA/play12Wk 13 vs Nevada: +1.23 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTexas TechW35-336.123316.50250.51
2vsPortland StateW31-1735016.71291.47
3@TexasL10-3123.28627.80200.70
4vsApp StateW22-193.82189.00131.20
5vsNew MexicoW35-26-16.53217.0090.39
6vsFresno StateW24-192.555010.02151.84
7@Air ForceL27-345.93165.316
9@Boise StateL7-325.9
10vsColorado StateW24-15-8.93206.70100.28
11@UNLVL14-341.457214.40280.92
12vsHawai'iW42-9-16.414040.01403.19
13@NevadaW42-6-22.044310.80191.23
20vsToledoW16-153.755511.0019

Usage & Situational · Pro

Snap-share proxy
Overall
7.6%
Passing plays
15.8%
Rushing plays
1.8%
Standard downs
6.8%
Passing downs
9.6%
EPA by down type
Standard downs
0.72
Passing downs
1.11
Pass / Rush EPA
0.98 / 0.10

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.