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Dylan Riley

#0Dylan Riley

Dylan Riley is a Committee Back for Boise State. Dylan's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 188 plays — a developing rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Dylan Riley'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

Rushing
1125 Rush yards10 Rush TD195 Carries5.8 Yards/carry
Receiving
15 Receptions149 Rec yards2 Rec TD9.9 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume58
  • Explosiveness56
  • Consistency22
  • Receiving37
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency22th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.39 EPA/play decline from first to second half.
  • Peak game: 1.29 EPA/play in Wk 2 vs Eastern Washington.

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 · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Dalvin CookFlorida State0.3404.399.3

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

Game Log · box score + EPA, week by week

+1.2901.29Wk 1 vs South Florida: -0.39 EPA/play1Wk 2 vs Eastern Washington: +1.29 EPA/play2Wk 4 vs Air Force: +0.99 EPA/play4Wk 5 vs App State: -0.33 EPA/play5Wk 6 vs Notre Dame: +0.35 EPA/play6Wk 7 vs New Mexico: +0.06 EPA/play7Wk 8 vs UNLV: +0.54 EPA/play8Wk 9 vs Nevada: +0.04 EPA/play9Wk 10 vs Fresno State: -0.05 EPA/play10Wk 12 vs San Diego State: -0.08 EPA/play12Wk 13 vs Colorado State: -0.02 EPA/play13Wk 14 vs Utah State: +0.02 EPA/play14Wk 15 vs UNLV: -0.06 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@South FloridaL7-3411.67202.90-0.39
2vsEastern WashingtonW51-14612320.511501.29
4@Air ForceW49-37-3.2191719.0428410.99
5vsApp StateW47-14-11.416462.90100-0.33
6@Notre DameL7-2824.45336.6021100.35
7vsNew MexicoW41-250.9181015.6011400.06
8vsUNLVW56-314.31520113.410.54
9@NevadaW24-3-13.412342.8121600.04
10vsFresno StateL7-301.86162.701-40-0.05
12@San Diego StateL7-176.721793.81-0.08
13vsColorado StateW49-21-15.614725.11240-0.02
14@Utah StateW25-24-3.1251204.8121000.02
15vsUNLVW38-214.321753.60191-0.06
20vsWashingtonL10-3818.410343.40

Usage & Situational · Pro

Snap-share proxy
Overall
20.4%
Passing plays
4.1%
Rushing plays
36.2%
Standard downs
23.8%
Passing downs
13.8%
EPA by down type
Standard downs
0.14
Passing downs
0.00
Pass / Rush EPA
0.27 / 0.09

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.