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Mason LeBel Elite Prospects ↗

Position: Forward DOB: 2004-05-06 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 Janesville Jets NAHL 1 0 0 0 0.000 — — — —
2022-23 Anchorage Wolverines NAHL 48 9 6 15 0.312 0.1238 0.1293 0.3281 0.3427
2023-24 — NAHL 57 14 14 28 0.491 0.1946 0.1939 0.5157 0.5140
2024-25 — NAHL 60 30 29 59 0.983 0.3896 0.3679 1.0324 0.9748
■ 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 — 29 6 9 15 0.517
2025-26 Minnesota State D1 CCHA FR 29 6 9 15 0.517
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.52
2025-26 · Minnesota
+102.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
45%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#19138
Forward overall
#985
Forward born in 2004
#1207
in NAHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Jason Murfitt
Manhattanville · 2003-04
0.875 Strong
actual D2/3 PPG
Connor Treacy
SUNY Potsdam · 2005-06
0.960 Strong
actual D2/3 PPG
Cole Gibson
Milwaukee School of Engineering · 2010-11
1.038 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.