IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Dane Dowiak Elite Prospects ↗

Position: Forward DOB: 2002-03-27 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
2018-19 Kent School NE-Prep 27 16 12 28 1.037 0.2925 0.2925 0.4745 0.4745
2019-20 Frederick Gunn NE-Prep 34 13 19 32 0.941 0.2655 0.2655 0.4307 0.4307
2021-22 Tri-City Storm USHL 55 16 14 30 0.545 0.3353 0.3176 1.6072 1.5224
2022-23 Tri-City Storm USHL 52 14 15 29 0.558 0.3428 0.3069 1.6431 1.4710
■ 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 Penn State D1 BigTen JR 27 9 9 18 0.667
2024-25 Penn State D1 BigTen SR 40 12 8 20 0.500
2023-24 Penn State D1 BigTen JR 31 6 5 11 0.355
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.35
2023-24 · Penn State
+33.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
57%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#13667
Forward overall
#684
Forward born in 2002

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
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

A.J. Tucker
St. Scholastica · 2004-05
1.111 Elite
actual D2/3 PPG
Devin Panzeca
SUNY Potsdam · 2017-18
0.667 Strong
actual D2/3 PPG
Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 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.