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Deion Burks

#4Deion Burks

Deion Burks is a Versatile WR for Purdue. Deion's 2023 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 54 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.

2023 Production

Receiving
47 Receptions629 Rec yards7 Rec TD13.4 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness43
  • Consistency72
  • 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 consistency72th %ile · average
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.
  • 9 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 — 0.84 EPA/play decline from first to second half.
  • Peak game: 3.39 EPA/play in Wk 1 vs Fresno State (SP+ 3).

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

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

Game Log · box score + EPA, week by week

+3.3903.39Wk 1 vs Fresno State: +3.39 EPA/play1Wk 2 vs Virginia Tech: +2.56 EPA/play2Wk 3 vs Syracuse: +0.99 EPA/play3Wk 4 vs Wisconsin: +1.05 EPA/play4Wk 5 vs Illinois: +1.31 EPA/play5Wk 6 vs Iowa: -0.19 EPA/play6Wk 7 vs Ohio State: +1.13 EPA/play7Wk 9 vs Nebraska: -0.02 EPA/play9Wk 10 vs Michigan: +1.49 EPA/play10Wk 11 vs Minnesota: +1.21 EPA/play11Wk 12 vs Northwestern: -0.17 EPA/play12Wk 13 vs Indiana: +0.43 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsFresno StateL35-392.5415238.02843.39
2@Virginia TechW24-175.811818.00182.56
3vsSyracuseL20-35-4.445112.81230.99
4vsWisconsinL17-389.467312.20161.05
5vsIllinoisW44-19-2.558316.61441.31
6@IowaL14-205.84194.8010-0.19
7vsOhio StateL7-4125.23227.3191.13
9@NebraskaL14-310.3284.009-0.02
10@MichiganL13-4131.334314.31241.49
11vsMinnesotaW49-300.446015.01421.21
12@NorthwesternL15-23-1.34133.306-0.17
13vsIndianaW35-31-7.478712.40440.43

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
12.2%
Rushing plays
1.1%
Standard downs
7.3%
Passing downs
4.2%
EPA by down type
Standard downs
0.81
Passing downs
1.41
Pass / Rush EPA
1.03 / -0.11

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.