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Ja'Cyais Credle

#8Ja'Cyais Credle

Ja'Cyais Credle is a Versatile WR for Georgia State.

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 Ja'Cyais Credle'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
9 Receptions113 Rec yards0 Rec TD12.6 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume7
  • Explosiveness37
  • Consistency80
  • Pass-Down42
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 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.
  • 4 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: 2.42 EPA/play in Wk 11 vs James Madison (SP+ 8).

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

+2.4202.42Wk 1 vs Georgia Tech: +1.94 EPA/play1Wk 3 vs Vanderbilt: +0.35 EPA/play3Wk 8 vs Marshall: +2.41 EPA/play8Wk 9 vs App State: +0.38 EPA/play9Wk 10 vs UConn: +0.63 EPA/play10Wk 11 vs James Madison: +2.42 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Georgia TechL12-351.911313.00131.94
3vsVanderbiltW36-324.9188.0080.35
8@MarshallL20-353.111313.00132.41
9@App StateL26-33-8.112121.00210.38
10@UConnL27-341.54399.80110.63
11@James MadisonL7-387.511919.00192.42

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
4.5%
Rushing plays
0.0%
Standard downs
2.2%
Passing downs
3.1%
EPA by down type
Standard downs
1.06
Passing downs
1.01
Pass / Rush EPA
1.04 / —

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.