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Jeremiah Koger

#4Jeremiah Koger

Jeremiah Koger is a Red Zone Weapon WR for South Florida. Jeremiah's 2025 season produced 39.5 total EPA across 48 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 Jeremiah Koger'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
38 Receptions597 Rec yards8 Rec TD15.7 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness58
  • Consistency80
  • Pass-Down100
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency80th %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.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.97 EPA/play decline from first to second half.
  • Peak game: 2.31 EPA/play in Wk 7 vs North Texas (SP+ 14).

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

+2.3102.31Wk 6 vs Charlotte: +1.24 EPA/play6Wk 7 vs North Texas: +2.31 EPA/play7Wk 8 vs Florida Atlantic: +0.80 EPA/play8Wk 9 vs Memphis: +1.32 EPA/play9Wk 11 vs UTSA: +0.44 EPA/play11Wk 12 vs Navy: +0.24 EPA/play12Wk 13 vs UAB: +0.51 EPA/play13Wk 14 vs Rice: +0.59 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
6vsCharlotteW54-26-26.747518.81381.24
7@North TexasW63-3613.849423.52632.31
8vsFlorida AtlanticW48-13-8.749022.51600.80
9@MemphisL31-347.657815.61341.32
11vsUTSAW55-233.72189.00120.44
12@NavyL38-416.2911212.41360.24
13@UABW48-18-15.84379.30170.51
14vsRiceW52-3-14.822512.51180.59
20vsOld DominionL10-245.946817.0131

Usage & Situational · Pro

Snap-share proxy
Overall
6.7%
Passing plays
15.6%
Rushing plays
0.0%
Standard downs
6.8%
Passing downs
6.4%
EPA by down type
Standard downs
0.68
Passing downs
1.29
Pass / Rush EPA
0.82 / —

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.