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Logan Conklin

#84Logan Conklin

Logan Conklin is a Slot Specialist WR for North Dakota State.

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 Logan Conklin'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
5 Receptions49 Rec yards0 Rec TD9.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume5
  • Explosiveness19
  • Consistency76
  • Pass-Down50
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 consistency76th %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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 1.51 EPA/play in Wk 8 vs Indiana State.

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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3200.412.5
Cade HarrisAir Force0.3300.514.8

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

Game Log · box score + EPA, week by week

+1.5101.51Wk 1 vs The Citadel: +0.76 EPA/play1Wk 2 vs Tennessee State: -0.15 EPA/play2Wk 3 vs Southeast Missouri State: +1.25 EPA/play3Wk 7 vs Southern Illinois: +0.33 EPA/play7Wk 8 vs Indiana State: +1.51 EPA/play8
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@The CitadelW38-011616.00160.76
2@Tennessee StateW59-3144.004-0.15
3vsSoutheast Missouri StateW41-14177.0071.25
7vsSouthern IllinoisW45-1711010.00100.33
8@Indiana StateW38-711212.00121.51

Usage & Situational · Pro

Snap-share proxy
Overall
1.8%
Passing plays
5.2%
Rushing plays
0.0%
Standard downs
1.2%
Passing downs
3.6%
EPA by down type
Standard downs
0.41
Passing downs
Pass / Rush EPA
0.41 / —

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.