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Titus Mokiao-Atimalala
Titus Mokiao-Atimalala

#2Titus Mokiao-Atimalala

WR·UCLA·2025

Titus Mokiao-Atimalala is a Versatile WR for UCLA. Titus's 2025 season produced 19.5 total EPA across 41 plays.

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 Titus Mokiao-Atimalala'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
25 Receptions322 Rec yards3 Rec TD12.9 Yards/rec
Returns
5 Kick returns88 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness39
  • Consistency55
  • Pass-Down100
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 consistency55th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.67 EPA/play decline from first to second half.
  • Peak game: 3.23 EPA/play in Wk 7 vs Michigan State (SP+ -3).

NIL Market Tier· 2025

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.

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
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+3.2303.23Wk 2 vs UNLV: +0.56 EPA/play2Wk 3 vs New Mexico: +0.43 EPA/play3Wk 5 vs Northwestern: +0.00 EPA/play5Wk 6 vs Penn State: +0.63 EPA/play6Wk 7 vs Michigan State: +3.23 EPA/play7Wk 8 vs Maryland: +0.95 EPA/play8Wk 9 vs Indiana: -1.04 EPA/play9Wk 11 vs Nebraska: +0.54 EPA/play11Wk 12 vs Ohio State: +1.37 EPA/play12Wk 13 vs Washington: -0.04 EPA/play13Wk 14 vs USC: +0.67 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@UNLVL23-304.333210.70150.56
3vsNew MexicoL10-350.922512.51130.43
5@NorthwesternL14-175.83289.30190.00
6vsPenn StateW42-3718.134113.71240.63
7@Michigan StateW38-13-3.411212.01123.23
8vsMarylandW20-170.6610217.00340.95
9@IndianaL6-5632.4-1.04
11vsNebraskaL21-286.2177.0070.54
12@Ohio StateL10-4830.1144.0041.37
13vsWashingtonL14-4818.412424.0024-0.04
14@USCL10-2916.944711.80240.67

Usage & Situational · Pro

Snap-share proxy
Overall
6.1%
Passing plays
11.9%
Rushing plays
0.0%
Standard downs
6.1%
Passing downs
6.1%
EPA by down type
Standard downs
0.38
Passing downs
0.69
Pass / Rush EPA
0.48 / —

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.