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Ryan Davis

#9Ryan Davis

WR·Utah·2025

Ryan Davis is a Versatile WR for Utah. Ryan's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 71 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 Ryan Davis'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
62 Receptions725 Rec yards4 Rec TD11.7 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume28
  • Explosiveness31
  • Consistency77
  • 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 consistency77th %ile · above 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 consistency — reliable floor each week.
  • 7 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 — 0.13 EPA/play decline from first to second half.
  • Peak game: 1.49 EPA/play in Wk 5 vs West Virginia (SP+ -7).

NIL Market Tier· 2025

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
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+1.4901.49Wk 1 vs UCLA: +0.38 EPA/play1Wk 2 vs Cal Poly: +0.65 EPA/play2Wk 3 vs Wyoming: +0.44 EPA/play3Wk 4 vs Texas Tech: +0.34 EPA/play4Wk 5 vs West Virginia: +1.49 EPA/play5Wk 7 vs Arizona State: +1.47 EPA/play7Wk 8 vs BYU: +0.43 EPA/play8Wk 9 vs Colorado: -0.24 EPA/play9Wk 10 vs Cincinnati: +1.19 EPA/play10Wk 12 vs Baylor: +0.76 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@UCLAW43-10-8.73227.30100.38
2vsCal PolyW63-96589.71270.65
3@WyomingW31-6-11.310919.10240.44
4vsTexas TechL10-3427.610707.00120.34
5@West VirginiaW48-14-6.8710715.31321.49
7vsArizona StateW42-103.936822.70561.47
8@BYUL21-2415.97669.41220.43
9vsColoradoW53-7-8.323618.0028-0.24
10vsCincinnatiW45-144.5813216.51461.19
12@BaylorW55-281.4199.0090.76
20vsNebraskaW44-226.256613.2019

Usage & Situational · Pro

Snap-share proxy
Overall
9.9%
Passing plays
24.6%
Rushing plays
0.0%
Standard downs
9.0%
Passing downs
12.4%
EPA by down type
Standard downs
0.35
Passing downs
1.35
Pass / Rush EPA
0.70 / —

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.