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Ty Nash Elite Prospects ↗

Position: Forward DOB: 2003-05-22 Country: USA
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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
2019-20 Lethbridge Hurricanes WHL 59 6 9 15 0.254 0.1237 0.1237 0.6229 0.6229
2020-21 Lethbridge Hurricanes WHL 24 4 9 13 0.542 0.2635 0.2635 1.3273 1.3273
2021-22 Lethbridge Hurricanes WHL 60 17 21 38 0.633 0.3081 0.3072 1.5518 1.5471
2022-23 — WHL 64 20 24 44 0.688 0.3345 0.3179 1.6846 1.6009
2023-24 Edmonton Oil Kings WHL 50 21 35 56 1.120 0.5449 0.4910 2.7443 2.4728
■ 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 Arizona State D1 NCHC SO 32 5 5 10 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.31
2025-26 · Arizona State
-13.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
65%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#7781
Forward overall
#299
Forward born in 2003
#357
in WHL

D1 Comparables

Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG

D2/3 Comparables

Jason Kalinowski
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2006-07
1.769 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.