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Elijhah Badger

#6Elijhah Badger

Elijhah Badger is a Versatile WR for Arizona State. Elijhah's 2023 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 95 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 Elijhah Badger'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

Rushing
51 Rush yards1 Rush TD11 Carries4.6 Yards/carry
Receiving
65 Receptions713 Rec yards3 Rec TD11.0 Yards/rec
Returns
20 Kick returns578 KR yards0 KR TD

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume40
  • Explosiveness26
  • Consistency66
  • Pass-Down75
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 consistency66th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 6 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 — 0.41 EPA/play decline from first to second half.
  • Peak game: 1.20 EPA/play in Wk 2 vs Oklahoma State (SP+ 7).

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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
Zach AbeyNavy0.3700.825.9

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

Game Log · box score + EPA, week by week

+1.2001.20Wk 1 vs Southern Utah: +0.80 EPA/play1Wk 2 vs Oklahoma State: +1.20 EPA/play2Wk 3 vs Fresno State: +0.04 EPA/play3Wk 4 vs USC: +0.75 EPA/play4Wk 5 vs California: +0.36 EPA/play5Wk 6 vs Colorado: +0.42 EPA/play6Wk 8 vs Washington: -0.01 EPA/play8Wk 9 vs Washington State: +0.73 EPA/play9Wk 10 vs Utah: -0.59 EPA/play10Wk 11 vs UCLA: +0.82 EPA/play11Wk 12 vs Oregon: +0.13 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouthern UtahW24-213196.30160.80
2vsOklahoma StateL15-276.738026.71651.20
3vsFresno StateL0-292.53268.70240.04
4vsUSCL28-429.49889.81260.75
5@CaliforniaL21-24-0.137525.00520.36
6vsColoradoL24-27-4.91213411.20300.42
8@WashingtonL7-1516.48506.3034-0.01
9vsWashington StateW38-274.946015.00260.73
10@UtahL3-558.5111.001-0.59
11@UCLAW17-79.7121169.71300.82
12vsOregonL13-4926.27649.10250.13

Usage & Situational · Pro

Snap-share proxy
Overall
13.9%
Passing plays
21.8%
Rushing plays
3.6%
Standard downs
13.8%
Passing downs
14.1%
EPA by down type
Standard downs
0.44
Passing downs
0.58
Pass / Rush EPA
0.52 / 0.25

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.