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Dashel Oliver Elite Prospects ↗

Position: Forward DOB: 2005-02-24 Country: USA
No commitment set

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NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2021-22 Lincoln Stars USHL 13 2 3 5 0.385 0.2269 0.2480 1.1551 1.2625
2022-23 Lincoln Stars USHL 48 7 6 13 0.271 0.1597 0.1663 0.8133 0.8467
2023-24 Lincoln Stars USHL 51 12 7 19 0.372 0.2197 0.2178 1.1188 1.1092
2024-25 Lincoln Stars USHL 61 26 28 54 0.885 0.5222 0.4911 2.6586 2.5001
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Notre Dame D1 BigTen FR 37 3 3 6 0.162
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.16
2025-26 · Notre Dame
-50.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

88%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#11614
Forward overall
#545
Forward born in 2005
#1053
in USHL

D1 Comparables

Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.