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Ty Mason Elite Prospects ↗

Position: Forward DOB: 2005-06-23 Country: Canada
Western Michigan
NCHC D1

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 Weyburn Red Wings SJHL 46 10 8 18 0.391 0.1003 0.1146 0.2950 0.3371
2022-23 Weyburn Red Wings SJHL 56 25 32 57 1.018 0.2608 0.2850 0.7673 0.8386
2023-24 Brooks Bandits AJHL 34 17 16 33 0.971 0.3255 0.3358 0.8982 0.9267
2024-25 Waterloo Black Hawks USHL 53 8 9 17 0.321 0.1892 0.1810 0.9635 0.9218
2025-26 Waterloo Black Hawks USHL 57 24 20 44 0.772 0.4553 0.4136 2.3183 2.1058
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
2%
NCAA D2/D3
8%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#13104
Forward overall
#647
Forward born in 2005

D1 Comparables

NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

Western Michigan Alumni similar profiles who attended this school

USHL 2016-17
0.31
actual FR PPG at Western Michigan
AJHL 2019-20
0.14
actual FR PPG at Western Michigan
USHS-MN 2021-22
0.95
actual FR PPG at Western Michigan
USHL 2014-15
0.26
actual FR PPG at Western Michigan

D2/3 Comparables

Adrian · 2011-12
1.357 Elite
actual D2/3 PPG
St. Thomas · 2015-16
0.923 Strong
actual D2/3 PPG
SUNY Morrisville · 2010-11
1.154 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.