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Sam Olson

#84Sam Olson

Sam Olson is a Versatile TE for San José State.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Sam Olson'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.

2023 Production

Receiving
22 Receptions310 Rec yards3 Rec TD14.1 Yards/rec

Performance Analysis · 2023 · vs TE peers

  • Efficiency100
  • Volume17
  • Explosiveness47
  • Consistency80
  • Pass-Down100
Player type
Versatile TE

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 TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.74 from the first to second half of the season.
  • Peak game: 3.77 EPA/play in Wk 9 vs Hawai'i (SP+ -16).

NIL Market Tier· 2023

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

+3.7703.77Wk 1 vs Oregon State: +1.30 EPA/play1Wk 2 vs Cal Poly: +2.68 EPA/play2Wk 3 vs Toledo: +0.62 EPA/play3Wk 9 vs Hawai'i: +3.77 EPA/play9Wk 13 vs UNLV: +0.77 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0@USCL28-569.4144.004
1vsOregon StateL17-4212.666010.00261.30
2vsCal PolyW59-312727.01272.68
3@ToledoL17-213.7273.5040.62
8vsUtah StateW42-21-10.9166.006
9@Hawai'iW35-0-16.412929.00293.77
13@UNLVW37-311.468113.51560.77
20vsCoastal CarolinaL14-24-1.249624.0135

Usage & Situational · Pro

Snap-share proxy
Overall
6.0%
Passing plays
10.5%
Rushing plays
0.9%
Standard downs
5.1%
Passing downs
7.8%
EPA by down type
Standard downs
0.77
Passing downs
1.73
Pass / Rush EPA
1.15 / 1.13

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.