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Keith Reynolds

#0Keith Reynolds

Keith Reynolds is a Versatile WR for Miami (OH). Keith's 2025 season ranks in the 33th percentile nationally by opponent-adjusted EPA per play across 84 plays — a developing 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 Keith Reynolds'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
186 Rush yards0 Rush TD27 Carries6.9 Yards/carry
Receiving
36 Receptions352 Rec yards1 Rec TD9.8 Yards/rec
Returns
16 Kick returns456 KR yards1 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency33
  • Volume29
  • Explosiveness19
  • Consistency0
  • Pass-Down69
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)33th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Production faded as the season progressed — 0.23 EPA/play decline from first to second half.
  • Peak game: 0.96 EPA/play in Wk 2 vs Rutgers (SP+ 1).

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
De'Michael HarrisSouthern Miss0.1300.715.2
Amare JonesTulane0.1800.012.8
Hyleck FosterMarshall0.1800.518.2
Davis BrysonKennesaw State0.2000.019.4
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

+0.9600.96Wk 2 vs Rutgers: +0.96 EPA/play2Wk 4 vs UNLV: +0.18 EPA/play4Wk 5 vs Lindenwood: +0.21 EPA/play5Wk 6 vs Northern Illinois: -0.17 EPA/play6Wk 7 vs Akron: +0.12 EPA/play7Wk 8 vs Eastern Michigan: -0.48 EPA/play8Wk 9 vs Western Michigan: +0.27 EPA/play9Wk 11 vs Ohio: -0.23 EPA/play11Wk 12 vs Toledo: -0.62 EPA/play12Wk 13 vs Buffalo: -0.19 EPA/play13Wk 14 vs Ball State: +0.53 EPA/play14Wk 15 vs Western Michigan: +0.05 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@RutgersL17-451.0712017.10690.96
4vsUNLVL38-414.3133.0130.18
5vsLindenwoodW38-03268.70140.21
6@Northern IllinoisW25-14-16.75193.807-0.17
7@AkronW20-7-13.97486.90160.12
8vsEastern MichiganW44-30-14.711414.0014-0.48
9vsWestern MichiganW26-17-1.422914.50170.27
11@OhioL20-24-4.03103.306-0.23
12vsToledoL3-246.011111.0011-0.62
13@BuffaloW37-20-7.53155.008-0.19
14vsBall StateW45-24-23.014444.00440.53
15vsWestern MichiganL13-23-1.4199.0090.05
20vsFresno StateL3-181.8144.004

Usage & Situational · Pro

Snap-share proxy
Overall
10.3%
Passing plays
15.8%
Rushing plays
5.9%
Standard downs
10.2%
Passing downs
10.3%
EPA by down type
Standard downs
0.04
Passing downs
0.15
Pass / Rush EPA
0.10 / 0.02

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.