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Daniel Lasco

#2Daniel Lasco

RB·California·20143.4 pts line valueDay 3 (Rds 4–7)

Daniel Lasco is a Featured Back for California. Daniel's 2014 season ranks in the 30th percentile nationally by opponent-adjusted EPA per play across 241 plays — a developing rate for the RB.

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 Daniel Lasco'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.

2014 Production

Rushing
1115 Rush yards12 Rush TD210 Carries5.3 Yards/carry
Receiving
33 Receptions356 Rec yards2 Rec TD10.8 Yards/rec

Performance Analysis · 2014 · vs RB peers

  • Efficiency30
  • Volume73
  • Explosiveness46
  • Consistency63
  • Receiving53
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)30th %ile · below avg
Game-to-game consistency63th %ile · average
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • 4 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 — 0.10 EPA/play decline from first to second half.
  • Peak game: 0.65 EPA/play in Wk 2 vs Sacramento State.

Historical Comparables · RB · 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
Saquon BarkleyPenn State0.3403.997.9
Dalvin CookFlorida State0.3404.399.3
Breece HallIowa State0.3404.5102.3
James FlandersTulsa0.3904.9103.7
Hassan HaskinsMichigan0.3804.8106.4

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

Game Log · box score + EPA, week by week

+0.6500.65Wk 1 vs Northwestern: -0.28 EPA/play1Wk 2 vs Sacramento State: +0.65 EPA/play2Wk 4 vs Arizona: +0.13 EPA/play4Wk 5 vs Colorado: +0.54 EPA/play5Wk 6 vs Washington State: +0.42 EPA/play6Wk 7 vs Washington: +0.18 EPA/play7Wk 8 vs UCLA: -0.10 EPA/play8Wk 9 vs Oregon: +0.46 EPA/play9Wk 10 vs Oregon State: +0.38 EPA/play10Wk 12 vs USC: +0.31 EPA/play12Wk 13 vs Stanford: -0.07 EPA/play13Wk 14 vs BYU: +0.07 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@NorthwesternW31-241.58222.803170-0.28
2vsSacramento StateW55-1499410.410.65
4@ArizonaL45-497.6201236.210.13
5vsColoradoW59-56-5.0181086.0019210.54
6@Washington StateW60-59-1.711615.5154210.42
7vsWashingtonL7-317.817714.2163500.18
8vsUCLAL34-3617.719442.323170-0.10
9vsOregonL41-5924.715855.71810100.46
10@Oregon StateW45-313.2301886.3312000.38
12@USCL30-3817.119864.5121900.31
13vsStanfordL17-3821.4181035.71100-0.07
14vsBYUL35-4210.2261305.0031300.07

Usage & Situational · Pro

Snap-share proxy
Overall
25.6%
Passing plays
7.4%
Rushing plays
50.5%
Standard downs
30.9%
Passing downs
13.3%
EPA by down type
Standard downs
0.11
Passing downs
0.84
Pass / Rush EPA
0.41 / 0.19

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.750−0.37
EPA per play · 2014 · 12 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.