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Deion Burks

#4Deion Burks

Deion Burks is a Versatile WR for Oklahoma. Deion's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 86 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 Deion Burks'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
57 Receptions620 Rec yards4 Rec TD10.9 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume29
  • Explosiveness26
  • Consistency34
  • 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 consistency34th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game variance — boom-or-bust profile.
  • 5 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 — 0.14 EPA/play decline from first to second half.
  • Peak game: 0.94 EPA/play in Wk 7 vs Texas (SP+ 16).

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
Malik DunnerBall State0.2900.422.0
Noah ShortArmy0.3000.520.7
Chris TyreeNotre Dame0.3100.623.6
Xavier WhiteTexas Tech0.3000.518.6
Samajie GrantArizona0.2500.315.5

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

Game Log · box score + EPA, week by week

+0.9400.94Wk 1 vs Illinois State: +0.83 EPA/play1Wk 2 vs Michigan: +0.35 EPA/play2Wk 3 vs Temple: +0.14 EPA/play3Wk 4 vs Auburn: +0.01 EPA/play4Wk 6 vs Kent State: -0.58 EPA/play6Wk 7 vs Texas: +0.94 EPA/play7Wk 8 vs South Carolina: +0.52 EPA/play8Wk 9 vs Ole Miss: +0.91 EPA/play9Wk 10 vs Tennessee: +0.15 EPA/play10Wk 12 vs Alabama: -0.34 EPA/play12Wk 13 vs Missouri: -0.68 EPA/play13Wk 14 vs LSU: +0.67 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsIllinois StateW35-378812.61280.83
2vsMichiganW24-1312.4710114.41340.35
3@TempleW42-3-5.133612.00200.14
4vsAuburnW24-1711.66406.70120.01
6vsKent StateW44-0-19.32105.006-0.58
7vsTexasL6-2316.256412.80210.94
8@South CarolinaW26-75.92199.50110.52
9vsOle MissL26-3424.04328.00150.91
10@TennesseeW33-2715.06457.50120.15
12@AlabamaW23-2114.82199.5018-0.34
13vsMissouriW17-614.42-2-1.001-0.68
14vsLSUW17-1310.346115.31450.67
20vsAlabamaL24-3414.8710715.3137

Usage & Situational · Pro

Snap-share proxy
Overall
10.1%
Passing plays
18.2%
Rushing plays
1.5%
Standard downs
10.5%
Passing downs
9.3%
EPA by down type
Standard downs
0.11
Passing downs
0.70
Pass / Rush EPA
0.36 / -0.68

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.