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Jayon Farrar

#11Jayon Farrar

Jayon Farrar is a Slot Specialist WR for Fresno 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 Jayon Farrar'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
12 Receptions114 Rec yards0 Rec TD9.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness17
  • Consistency18
  • Pass-Down77
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 consistency18th %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.
  • 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: 1.61 EPA/play in Wk 1 vs Georgia Southern (SP+ -9).

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
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Samajie GrantArizona0.2500.315.5
Keytaon ThompsonVirginia0.3200.412.5
Justin LynchTemple0.2400.315.1

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

Game Log · box score + EPA, week by week

+1.6101.61Wk 1 vs Georgia Southern: +1.61 EPA/play1Wk 2 vs Oregon State: -0.73 EPA/play2Wk 3 vs Southern: +0.17 EPA/play3Wk 7 vs Colorado State: +1.51 EPA/play7Wk 9 vs San Diego State: -0.07 EPA/play9Wk 10 vs Boise State: -0.50 EPA/play10
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0@KansasL7-314.1
1vsGeorgia SouthernW42-14-9.433913.00151.61
2@Oregon StateW36-27-15.91-2-2.000-0.73
3vsSouthernW56-72189.00130.17
7@Colorado StateL21-49-15.634013.30141.51
9vsSan Diego StateL0-236.72178.5013-0.07
10@Boise StateW30-73.1122.002-0.50

Usage & Situational · Pro

Snap-share proxy
Overall
4.6%
Passing plays
9.2%
Rushing plays
0.4%
Standard downs
3.5%
Passing downs
6.8%
EPA by down type
Standard downs
0.16
Passing downs
0.32
Pass / Rush EPA
0.33 / -1.14

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.