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Kash Rasmussen Elite Prospects ↗

Position: Forward DOB: 2001-04-20 Country: Canada
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
2017-18 — AJHL 36 5 6 11 0.306 0.1014 0.1130 0.2832 0.3155
2018-19 Bonnyville Pontiacs AJHL 0 0 0 0 0.000 — — — —
2019-20 Bonnyville Pontiacs AJHL 57 11 17 28 0.491 0.1630 0.1630 0.4552 0.4552
2020-21 Bonnyville Pontiacs AJHL 10 8 6 14 1.400 0.4645 0.4645 1.2975 1.2975
2021-22 Bonnyville Pontiacs AJHL 51 24 39 63 1.235 0.4099 0.3769 1.1449 1.0528
■ 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 Canisius D1 AHA SR 33 2 5 7 0.212
2024-25 Canisius D1 AHA — 14 2 6 8 0.571
2023-24 Michigan Tech D1 CCHA — 35 3 9 12 0.343
2022-23 Michigan Tech D1 CCHA — 37 5 6 11 0.297
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.30
2022-23 · Michigan Tech
+28.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#10335
Forward overall
#445
Forward born in 2001
#142
in AJHL

D1 Comparables

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

D2/3 Comparables

Mitchell McPherson
Hamline · 2014-15
1.000 Elite
actual D2/3 PPG
Brett Everson
Utica · 2016-17
0.895 Strong
actual D2/3 PPG
Zack Bross
UMass Boston · 2016-17
1.518 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.