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Anthony Frias II
Anthony Frias II

#22Anthony Frias II

RB·UCLA·2025

Anthony Frias II is a Pass-Catching Back for UCLA. Anthony's 2025 season produced 1.5 total EPA across 31 plays.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Anthony Frias II'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

Rushing
183 Rush yards1 Rush TD24 Carries7.6 Yards/carry
Receiving
13 Receptions78 Rec yards1 Rec TD6.0 Yards/rec
Returns
10 Kick returns179 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume22
  • Explosiveness92
  • Consistency27
  • Receiving100
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency27th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Strong second-half surge — EPA/play improved 0.32 from the first to second half of the season.
  • Peak game: 2.42 EPA/play in Wk 11 vs Nebraska (SP+ 6).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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 2 vs UNLV: +0.11 EPA/play2Wk 7 vs Michigan State: +0.00 EPA/play7Wk 8 vs Maryland: +1.03 EPA/play8Wk 9 vs Indiana: +0.15 EPA/play9Wk 11 vs Nebraska: +2.42 EPA/play11Wk 12 vs Ohio State: +0.36 EPA/play12Wk 13 vs Washington: -0.24 EPA/play13Wk 14 vs USC: -0.82 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
2@UNLVL23-304.31500.11
3vsNew MexicoL10-350.9
5@NorthwesternL14-175.8
6vsPenn StateW42-3718.1
7@Michigan StateW38-13-3.47375.301500.00
8vsMarylandW20-170.649724.311201.03
9@IndianaL6-5632.46315.202900.15
11vsNebraskaL21-286.21912.42
12@Ohio StateL10-4830.1252.5022900.36
13vsWashingtonL14-4818.4252.504210-0.24
14@USCL10-2916.9382.701-20-0.82

Usage & Situational · Pro

Snap-share proxy
Overall
7.8%
Passing plays
5.9%
Rushing plays
10.4%
Standard downs
8.4%
Passing downs
6.7%
EPA by down type
Standard downs
0.07
Passing downs
-0.03
Pass / Rush EPA
-0.02 / 0.08

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.