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

Gunnar Conboy Elite Prospects ↗

Position: Forward DOB: 2009-04-02 Country: USA
Top 57 — 2027 NHL Draft Prospect
Minnesota
BigTen D1

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
2023-24 Lakeville North USHS-MN 26 13 7 20 0.769 0.0974 0.0974 0.1868 0.1868
2024-25 Lakeville North USHS-MN 27 24 16 40 1.482 0.1876 0.1876 0.3597 0.3597
2025-26 Green Bay Gamblers USHL 37 12 9 21 0.568 0.3348 0.3673 1.7032 1.8686
2026-27 Green Bay Gamblers USHL 4 1 2 3 0.750 0.4424 0.4424 2.2505 2.2505
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
10%
Pro / Other

NCAAe Rankings

#13643
Forward overall
#57
Forward born in 2009

D1 Comparables

Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.48 Average
NCAAe PPG
Sean Malone
NTDP-U18 · 2012-13 · 0.66 PPG
→ Harvard (0.65 D1 FR PPG)
0.48 Strong
NCAAe PPG
Scott Conway
NAHL · 2012-13 · 0.95 PPG
→ Penn State (0.76 D1 FR PPG)
0.38 Strong
NCAAe PPG
John Hayden
NTDP-U18 · 2012-13 · 0.64 PPG
→ Yale (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.44 Strong
NCAAe PPG

Minnesota Alumni similar profiles who attended this school

Brody Lamb
USHS-MN 2020-21
0.21
actual FR PPG at Minnesota
Scott Reedy
USHL 2016-17
0.43
actual FR PPG at Minnesota
Leon Bristedt
SHL-J20 2012-13
0.54
actual FR PPG at Minnesota
Erik Påhlsson
SHL-J20 2021-22
0.60
actual FR PPG at Minnesota

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Luke Aquaro
Hobart · 2016-17
1.231 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.