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Zion Booker

#4Zion Booker

WR·Tulsa·2025

Zion Booker is a Versatile WR for Tulsa. Zion's 2025 season ranks in the 67th percentile nationally by opponent-adjusted EPA per play across 68 plays — a average 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 Zion Booker'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
46 Receptions418 Rec yards2 Rec TD9.1 Yards/rec
Returns
8 Punt returns44 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency67
  • Volume32
  • Explosiveness14
  • Consistency26
  • 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)67th %ile · average
Game-to-game consistency26th %ile · below avg
Key findings
  • High game-to-game variance — boom-or-bust profile.
  • 4 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 — 0.36 EPA/play decline from first to second half.
  • Peak game: 0.68 EPA/play in Wk 1 vs Abilene Christian.

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Amare JonesTulane0.1800.012.8
Davis BrysonKennesaw State0.2000.019.4
Hyleck FosterMarshall0.1800.518.2
Justin LynchTemple0.2400.315.1
Eli HeidenreichNavy0.2200.815.4

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

Game Log · box score + EPA, week by week

+1.1001.10Wk 1 vs Abilene Christian: +0.68 EPA/play1Wk 2 vs New Mexico State: +0.07 EPA/play2Wk 3 vs Navy: +0.44 EPA/play3Wk 4 vs Oklahoma State: +0.40 EPA/play4Wk 5 vs Tulane: -1.10 EPA/play5Wk 6 vs Memphis: +0.32 EPA/play6Wk 8 vs East Carolina: +0.27 EPA/play8Wk 9 vs Temple: +0.66 EPA/play9
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsAbilene ChristianW35-766711.21360.68
2@New Mexico StateL14-21-15.59576.3090.07
3vsNavyL23-426.289011.30170.44
4@Oklahoma StateW19-12-15.16599.80170.40
5vsTulaneL14-316.34102.507-1.10
6@MemphisL7-457.62115.5070.32
8@East CarolinaL27-418.09556.11130.27
9vsTempleL37-38-5.126934.50400.66

Usage & Situational · Pro

Snap-share proxy
Overall
11.3%
Passing plays
20.7%
Rushing plays
1.9%
Standard downs
11.7%
Passing downs
10.4%
EPA by down type
Standard downs
0.02
Passing downs
0.52
Pass / Rush EPA
0.19 / -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.