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Malick Meiga

#3Malick Meiga

Malick Meiga 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 Malick Meiga'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
19 Receptions209 Rec yards1 Rec TD11.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness27
  • Consistency62
  • Pass-Down1
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 consistency62th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 1.11 EPA/play decline from first to second half.
  • Peak game: 2.91 EPA/play in Wk 4 vs South Alabama (SP+ -13).

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

+2.9102.91Wk 1 vs Virginia: +1.70 EPA/play1Wk 2 vs Charleston Southern: +0.93 EPA/play2Wk 3 vs East Carolina: +0.20 EPA/play3Wk 4 vs South Alabama: +2.91 EPA/play4Wk 6 vs Old Dominion: +0.42 EPA/play6Wk 11 vs Georgia State: +0.20 EPA/play11Wk 12 vs Georgia Southern: +0.30 EPA/play12Wk 13 vs South Carolina: +0.31 EPA/play13Wk 14 vs James Madison: -0.35 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@VirginiaL7-4811.122814.00191.70
2vsCharleston SouthernW13-02168.00100.93
3vsEast CarolinaL0-388.02157.5080.20
4@South AlabamaW38-20-12.711919.01192.91
6@Old DominionL7-475.933311.00210.42
11vsGeorgia StateW40-27-24.52147.0090.20
12@Georgia SouthernL40-45-9.43206.7090.30
13@South CarolinaL7-515.922311.50170.31
14vsJames MadisonL10-5912.3-0.35
20vsLouisiana TechL14-23-1.324120.5032

Usage & Situational · Pro

Snap-share proxy
Overall
4.5%
Passing plays
9.1%
Rushing plays
0.0%
Standard downs
3.6%
Passing downs
5.9%
EPA by down type
Standard downs
0.57
Passing downs
0.27
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.