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Oli Genest Elite Prospects ↗

Position: Forward DOB: 2004-03-19 Country: USA
No commitment set

Set Commitment

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 Maine Nordiques NAHL 4 1 1 2 0.500 0.1837 0.1997 0.5278 0.5737
2022-23 Maine Nordiques NAHL 58 20 20 40 0.690 0.2534 0.2630 0.7280 0.7556
2023-24 Victoria Grizzlies BCHL 49 9 7 16 0.327 0.1258 0.1221 0.4752 0.4612
2024-25 New Hampshire Mountain Kings NAHL 59 41 36 77 1.305 0.4795 0.4496 1.3775 1.2915
■ 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 Air Force D1 AHA — 24 5 2 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.29
2025-26 · Air Force
+7.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
2%
NCAA D2/D3
30%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#12777
Forward overall
#585
Forward born in 2004
#483
in NAHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Darren McCormick
SUNY Cortland · 2013-14
1.320 Elite
actual D2/3 PPG
Colby Audette
Becker · 2018-19
0.650 Strong
actual D2/3 PPG
Andrew Kolb
Wisconsin-Stevens Point · 2010-11
0.875 Strong
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.