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Joshua Porter

#80Joshua Porter

Joshua Porter is a Versatile WR for South Florida.

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 Joshua Porter'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
11 Receptions81 Rec yards1 Rec TD7.4 Yards/rec
Returns
10 Punt returns56 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume8
  • Explosiveness2
  • Consistency0
  • Pass-Down50
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 consistency0th %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.
  • Production faded as the season progressed — 0.41 EPA/play decline from first to second half.
  • Peak game: 1.04 EPA/play in Wk 4 vs South Carolina 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
JoJo NatsonUtah State0.3901.019.9
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+1.0401.04Wk 1 vs Boise State: -0.34 EPA/play1Wk 2 vs Florida: -0.06 EPA/play2Wk 3 vs Miami: -0.25 EPA/play3Wk 4 vs South Carolina State: +1.04 EPA/play4Wk 11 vs UTSA: -0.51 EPA/play11Wk 14 vs Rice: -0.11 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsBoise StateW34-73.1252.505-0.34
2@FloridaW18-163.511212.0012-0.06
3@MiamiL12-4920.7133.003-0.25
4vsSouth Carolina StateW63-1445814.51261.04
6vsCharlotteW54-26-26.7
11vsUTSAW55-233.72-6-3.00-3-0.51
12@NavyL38-416.2060.006
13@UABW48-18-15.8
14vsRiceW52-3-14.8133.003-0.11

Usage & Situational · Pro

Snap-share proxy
Overall
2.9%
Passing plays
6.2%
Rushing plays
0.0%
Standard downs
3.3%
Passing downs
1.6%
EPA by down type
Standard downs
0.44
Passing downs
Pass / Rush EPA
0.44 / —

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.