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Senika McKie

#0Senika McKie

Senika McKie 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 Senika McKie'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.

2024 Production

Receiving
24 Receptions319 Rec yards4 Rec TD13.3 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume10
  • Explosiveness42
  • Consistency78
  • Pass-Down24
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 consistency78th %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.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.43 EPA/play decline from first to second half.
  • Peak game: 3.40 EPA/play in Wk 1 vs Jacksonville State (SP+ -1).

NIL Market Tier· 2024

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.

Game Log · box score + EPA, week by week

+3.4003.40Wk 1 vs Jacksonville State: +3.40 EPA/play1Wk 2 vs William & Mary: +2.46 EPA/play2Wk 3 vs Temple: +0.52 EPA/play3Wk 4 vs Virginia: +3.38 EPA/play4Wk 6 vs Old Dominion: +0.17 EPA/play6Wk 7 vs James Madison: +0.36 EPA/play7Wk 8 vs Louisiana: +0.65 EPA/play8Wk 10 vs Troy: +1.40 EPA/play10Wk 11 vs App State: +0.56 EPA/play11Wk 13 vs Georgia Southern: +1.68 EPA/play13Wk 14 vs Georgia State: +2.12 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Jacksonville StateW55-27-1.0199.0193.40
2vsWilliam & MaryW40-2111717.00172.46
3@TempleW28-20-20.322211.00150.52
4vsVirginiaL24-43-5.114141.00413.38
6vsOld DominionW45-37-6.0199.0090.17
7@James MadisonL7-397.5166.0060.36
8vsLouisianaL24-344.811414.00140.65
10@TroyL24-38-6.611212.00121.40
11vsApp StateW38-24-8.1177.0070.56
13vsGeorgia SouthernL6-26-1.757815.60251.68
14@Georgia StateW48-27-17.958116.22312.12
20@UTSAL15-442.24235.819

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
8.1%
Rushing plays
0.0%
Standard downs
3.0%
Passing downs
4.5%
EPA by down type
Standard downs
1.27
Passing downs
1.12
Pass / Rush EPA
1.20 / —

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.