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Mason Moe Elite Prospects ↗

Position: Forward DOB: 2007-03-26 Country: USA
2025 · Round 3, Pick #90  ·  New Jersey Devils New Jersey Devils
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
2022-23 Eden Prairie USHS-MN 27 18 8 26 0.963 0.1219 0.1219 0.2339 0.2339
2023-24 Madison Capitols USHL 12 1 1 2 0.167 0.0983 0.1077 0.5007 0.5485
2024-25 Madison Capitols USHL 51 17 26 43 0.843 0.4973 0.5194 2.5322 2.6446
■ 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 Minnesota D1 BigTen FR 33 6 6 12 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.36
2025-26 · Minnesota
+19.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
8%
Pro / Other

NCAAe Rankings

#11870
Forward overall
#292
Forward born in 2007

D1 Comparables

Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.48 Average
NCAAe PPG
Sean Malone
USHL · 2012-13 · 0.87 PPG
→ Harvard (0.65 D1 FR PPG)
0.54 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.53 Developing
NCAAe PPG
John Hayden
USHL · 2012-13 · 0.83 PPG
→ Yale (0.48 D1 FR PPG)
0.51 Average
NCAAe PPG
Evan Allen
NTDP-U18 · 2012-13 · 0.72 PPG
→ Michigan (0.26 D1 FR PPG)
0.51 Developing
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Christopher Miraldo
Westfield State · 2022-23
1.037 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.