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Zion Steptoe

#25Zion Steptoe

WR·Tulsa·2025

Zion Steptoe is a Slot Specialist WR for Tulsa. Zion's 2025 season produced 15.8 total EPA across 45 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 Zion Steptoe'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
21 Receptions272 Rec yards0 Rec TD13.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness40
  • Consistency23
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency23th %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 — 0.15 EPA/play decline from first to second half.
  • Peak game: 1.31 EPA/play in Wk 8 vs East Carolina (SP+ 8).

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
Cade HarrisAir Force0.3300.514.8
Keytaon ThompsonVirginia0.3200.412.5
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3700.615.2
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+1.3101.31Wk 3 vs Navy: -0.71 EPA/play3Wk 4 vs Oklahoma State: +1.28 EPA/play4Wk 5 vs Tulane: -0.14 EPA/play5Wk 6 vs Memphis: +0.40 EPA/play6Wk 8 vs East Carolina: +1.31 EPA/play8Wk 9 vs Temple: -0.16 EPA/play9Wk 11 vs Florida Atlantic: -0.42 EPA/play11Wk 13 vs Army: +0.64 EPA/play13Wk 14 vs UAB: +0.16 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3vsNavyL23-426.2133.003-0.71
4@Oklahoma StateW19-12-15.13268.70161.28
5vsTulaneL14-316.33268.7010-0.14
6@MemphisL7-457.622512.50150.40
8@East CarolinaL27-418.045714.30191.31
9vsTempleL37-38-5.1-0.16
11@Florida AtlanticL21-40-8.7-0.42
13@ArmyW26-250.857615.20330.64
14vsUABL24-31-15.835919.70420.16

Usage & Situational · Pro

Snap-share proxy
Overall
6.8%
Passing plays
11.9%
Rushing plays
2.1%
Standard downs
5.3%
Passing downs
10.0%
EPA by down type
Standard downs
0.17
Passing downs
0.54
Pass / Rush EPA
0.28 / 0.72

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.