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Mason Hoehn Elite Prospects ↗

Position: Forward DOB: 2001-07-27 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
2020-21 Richmond Generals USPHL-Premier 31 9 8 17 0.548 0.0619 0.0619 0.1866 0.1866
2021-22 Springfield Jr. Blues NAHL 25 5 3 8 0.320 0.1137 0.1086 0.3360 0.3208
■ 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 SUNY Potsdam D3 SUNYAC SR 25 5 6 11 0.440
2024-25 SUNY Potsdam D3 SUNYAC JR 20 4 7 11 0.550
2023-24 SUNY Potsdam D3 SUNYAC SO 25 9 6 15 0.600
2022-23 SUNY Potsdam D3 SUNYAC FR 22 3 6 9 0.409
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.41
2022-23 · SUNY Potsdam
+339.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#36772
Forward overall
#2008
Forward born in 2001

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG

D2/3 Comparables

Chad Bazin
Utica · 2007-08
0.375 Average
actual D2/3 PPG
Jamie Armstrong
Suffolk · 2018-19
0.429 Average
actual D2/3 PPG
Jakub Hall
SUNY Potsdam · 2022-23
0.360 Average
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.