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Noah Ganske Elite Prospects ↗

Position: Defense DOB: 1999-04-21 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
2014-15 Bloomington Jefferson High USHS-MN 25 8 17 25 1.000 0.1266 0.1337 0.2428 0.2564
2017-18 — NAHL 42 2 9 11 0.262 0.0962 0.0995 0.2768 0.2862
2018-19 Green Bay Gamblers USHL 44 4 4 8 0.182 0.1072 0.1020 0.5455 0.5189
2019-20 Green Bay Gamblers USHL 40 4 14 18 0.450 0.2655 0.2655 1.3503 1.3503
■ 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
2020-21 Northern Michigan D1 WCHA FR 15 0 2 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.13
2020-21 · Northern Michigan
+39.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
8%
NCAA D2/D3
22%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#7912
Defenseman overall
#1667
Defenseman born in 1999

D1 Comparables

Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG

D2/3 Comparables

Brendan Payne
Gustavus Adolphus · 2016-17
0.412 Average
actual D2/3 PPG
Cole Pickup
Concordia · 2015-16
0.625 Average
actual D2/3 PPG
Louis DiMatteo
SUNY Cortland · 2015-16
0.667 Strong
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.