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Chris Domercant

#13Chris Domercant

WR·UCF·2025

Chris Domercant is a Versatile WR for UCF.

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 Chris Domercant'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
21 Receptions212 Rec yards2 Rec TD10.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness21
  • Consistency0
  • Pass-Down0
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 — 0.22 EPA/play decline from first to second half.
  • Peak game: 1.21 EPA/play in Wk 8 vs West Virginia (SP+ -7).

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
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Dane KinamonAir Force0.4100.716.0
Cade HarrisAir Force0.3300.514.8
Keytaon ThompsonVirginia0.3200.412.5

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

Game Log · box score + EPA, week by week

+1.2101.21Wk 2 vs North Carolina A&T: +0.19 EPA/play2Wk 4 vs North Carolina: +0.29 EPA/play4Wk 6 vs Kansas: +0.11 EPA/play6Wk 7 vs Cincinnati: +0.51 EPA/play7Wk 8 vs West Virginia: +1.21 EPA/play8Wk 10 vs Baylor: +0.03 EPA/play10Wk 11 vs Houston: +0.07 EPA/play11Wk 12 vs Texas Tech: -1.09 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsNorth Carolina A&TW68-722814.00220.19
4vsNorth CarolinaW34-9-6.611515.00150.29
6vsKansasL20-274.13155.0080.11
7@CincinnatiL11-204.533010.00170.51
8vsWest VirginiaW45-13-6.858917.82401.21
10@BaylorL3-301.4188.0080.03
11vsHoustonL27-307.4221.0040.07
12@Texas TechL9-4827.64256.3015-1.09

Usage & Situational · Pro

Snap-share proxy
Overall
5.1%
Passing plays
8.7%
Rushing plays
1.1%
Standard downs
4.5%
Passing downs
6.4%
EPA by down type
Standard downs
0.63
Passing downs
0.04
Pass / Rush EPA
0.38 / 0.55

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.