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Karmello English
Karmello English

#0Karmello English

Karmello English is a Versatile WR for Coastal Carolina.

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 Karmello English'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
20 Receptions185 Rec yards3 Rec TD9.3 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

6
Targets
7.3y
Avg depth
2.0y
After catch
50%
Catch rate

The ball travels 7.3 yards in the air on an average target 1.7 yards shorter than the median. Another 2.0 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
0
0
0
short
2
50% · 5y
1
0% · 0y
3
67% · 26y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume12
  • Explosiveness15
  • Consistency49
  • Pass-Down31
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 consistency49th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 1.02 from the first to second half of the season.
  • Peak game: 1.88 EPA/play in Wk 14 vs James Madison (SP+ 12).

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
Savion WilliamsTCU0.4501.125.2
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+1.8801.88Wk 1 vs Virginia: +0.69 EPA/play1Wk 2 vs Charleston Southern: -0.37 EPA/play2Wk 6 vs Old Dominion: -0.10 EPA/play6Wk 7 vs UL Monroe: +0.04 EPA/play7Wk 8 vs App State: -0.27 EPA/play8Wk 11 vs Georgia State: +1.71 EPA/play11Wk 12 vs Georgia Southern: +0.32 EPA/play12Wk 13 vs South Carolina: +0.18 EPA/play13Wk 14 vs James Madison: +1.88 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@VirginiaL7-4811.1122.0020.69
2vsCharleston SouthernW13-0122.002-0.37
6@Old DominionL7-475.91-4-4.000-0.10
7vsUL MonroeW23-8-21.6177.0070.04
8@App StateW45-37-11.4166.006-0.27
11vsGeorgia StateW40-27-24.546315.82311.71
12@Georgia SouthernL40-45-9.44358.81140.32
13@South CarolinaL7-515.94215.30110.18
14vsJames MadisonL10-5912.324623.00421.88
20vsLouisiana TechL14-23-1.3177.007

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
9.0%
Rushing plays
0.0%
Standard downs
4.2%
Passing downs
4.2%
EPA by down type
Standard downs
0.49
Passing downs
0.38
Pass / Rush EPA
0.45 / —

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.