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Patrick Dunaiski Elite Prospects ↗

Position: Forward DOB: 2004-09-17 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
2020-21 Cloquet/Esko/Carlton USHS-MN 20 1 3 4 0.200 0.0246 0.0246 0.0486 0.0486
2021-22 Cloquet/Esko/Carlton USHS-MN 27 13 9 22 0.815 0.1004 0.1004 0.1979 0.1979
2022-23 Cloquet/Esko/Carlton USHS-MN 24 14 12 26 1.083 0.1335 0.1335 0.2631 0.2631
2023-24 Minnesota Wilderness NAHL 8 0 2 2 0.250 0.0888 0.0901 0.2625 0.2664
2024-25 Minnesota Wilderness NAHL 13 1 2 3 0.231 0.0820 0.0789 0.2423 0.2332
■ 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 Concordia D3 MIAC — 22 2 7 9 0.409
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.41
2025-26 · Concordia
+473.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D1
30%
NCAA D2/D3
60%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#28110
Forward overall
#1636
Forward born in 2004

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Alex Storjohann
SUNY Cortland · 2016-17
0.565 Average
actual D2/3 PPG
Wilmer Svensson
Gustavus Adolphus · 2021-22
0.364 Average
actual D2/3 PPG
Stevie Bryant
UMass Boston · 2017-18
0.360 Average
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.