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Jonathan Bibbs

#3Jonathan Bibbs

Jonathan Bibbs is a Versatile WR for UL Monroe. Jonathan's 2025 season produced 30.1 total EPA across 44 plays.

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 Jonathan Bibbs'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
58 Rush yards0 Rush TD11 Carries5.3 Yards/carry
Receiving
26 Receptions383 Rec yards3 Rec TD14.7 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume23
  • Explosiveness52
  • Consistency58
  • Pass-Down44
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 consistency58th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.31 from the first to second half of the season.
  • Peak game: 2.29 EPA/play in Wk 14 vs Louisiana (SP+ -10).

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

+2.2902.29Wk 2 vs Alabama: -0.51 EPA/play2Wk 4 vs UTEP: +1.33 EPA/play4Wk 5 vs Arkansas State: +0.41 EPA/play5Wk 6 vs Northwestern: +0.70 EPA/play6Wk 7 vs Coastal Carolina: +0.71 EPA/play7Wk 8 vs Troy: +0.01 EPA/play8Wk 9 vs Southern Miss: +1.85 EPA/play9Wk 10 vs Old Dominion: -0.72 EPA/play10Wk 12 vs South Alabama: +0.22 EPA/play12Wk 13 vs Texas State: +0.55 EPA/play13Wk 14 vs Louisiana: +2.29 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@AlabamaL0-7314.8-0.51
4@UTEPW31-25-17.523819.01351.33
5vsArkansas StateW28-16-8.84287.00110.41
6@NorthwesternL7-425.811111.00110.70
7@Coastal CarolinaL8-23-15.157915.81430.71
8vsTroyL14-37-4.846015.00340.01
9@Southern MissL21-49-7.113434.00341.85
10vsOld DominionL6-315.9100.000-0.72
12vsSouth AlabamaL14-26-12.74287.00270.22
13@Texas StateL14-312.322613.00200.55
14@LouisianaL27-30-10.127939.51682.29

Usage & Situational · Pro

Snap-share proxy
Overall
7.9%
Passing plays
15.1%
Rushing plays
2.7%
Standard downs
7.8%
Passing downs
8.0%
EPA by down type
Standard downs
0.70
Passing downs
0.66
Pass / Rush EPA
0.74 / 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.