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

Reid Conn Elite Prospects ↗

Position: Defense DOB: 2004-02-02 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
2021-22 Minnesota Wilderness NAHL 50 4 5 9 0.180 0.0661 0.0714 0.1900 0.2053
2022-23 — USHL 43 1 5 6 0.140 0.0823 0.0813 0.4190 0.4139
2023-24 Chicago Steel USHL 59 3 8 11 0.186 0.1100 0.1032 0.5598 0.5252
2024-25 Chicago Steel USHL 43 7 12 19 0.442 0.2607 0.2313 1.3272 1.1775
■ 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 New Hampshire D1 HockeyEast FR 10 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
12%
NCAA D2/D3
15%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#8242
Defenseman overall
#1893
Defenseman born in 2004

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Jared Docking
SUNY Plattsburgh · 2008-09
0.739 Strong
actual D2/3 PPG
Craig Cowie
Neumann · 2011-12
0.607 Average
actual D2/3 PPG
Yann Poirier
Wisconsin-Superior · 2000-01
1.030 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.