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Deion DeBlanc

#3Deion DeBlanc

Deion DeBlanc is a Versatile WR for Wyoming. Deion's 2025 season produced 8.7 total EPA across 31 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 Deion DeBlanc'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

Rushing
54 Rush yards1 Rush TD10 Carries5.4 Yards/carry
Receiving
17 Receptions90 Rec yards0 Rec TD5.3 Yards/rec
Returns
6 Kick returns109 KR yards0 KR TD9 Punt returns151 PR yards1 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness0
  • Consistency25
  • 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 consistency25th %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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 1.25 EPA/play decline from first to second half.
  • Peak game: 1.60 EPA/play in Wk 6 vs UNLV (SP+ 4).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Keytaon ThompsonVirginia0.3200.412.5
Tyler BuchnerNotre Dame0.2500.312.8
Nick NashSan José State0.3100.514.0
Ainias SmithTexas A&M0.3100.517.0
Cade HarrisAir Force0.3300.514.8

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

Game Log · box score + EPA, week by week

+1.6001.60Wk 6 vs UNLV: +1.60 EPA/play6Wk 7 vs San José State: +1.26 EPA/play7Wk 8 vs Air Force: +0.26 EPA/play8Wk 10 vs San Diego State: -0.52 EPA/play10Wk 12 vs Fresno State: -0.80 EPA/play12Wk 13 vs Nevada: +0.40 EPA/play13Wk 14 vs Hawai'i: +0.08 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsNorthern IowaW31-7
6vsUNLVL17-314.311111.00111.60
7vsSan José StateW35-28-14.33175.7071.26
8@Air ForceL21-24-3.2273.50110.26
10@San Diego StateL7-246.74102.508-0.52
12@Fresno StateL3-241.8-0.80
13vsNevadaL7-13-13.4362.0070.40
14@Hawai'iL7-271.74399.80200.08

Usage & Situational · Pro

Snap-share proxy
Overall
6.7%
Passing plays
7.9%
Rushing plays
5.6%
Standard downs
7.6%
Passing downs
5.3%
EPA by down type
Standard downs
0.01
Passing downs
0.94
Pass / Rush EPA
0.24 / 0.35

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.
Deion Deblanc Stats, EPA & Player Profile — Wyoming · Gridpex