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Kyle Kussmann Elite Prospects ↗

Position: Defense DOB: 2004-04-20 Country: Canada
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 Georgetown Raiders OJHL 42 5 5 10 0.238 0.0584 0.0623 0.1639 0.1747
2022-23 — OJHL 51 6 10 16 0.314 0.0769 0.0780 0.2160 0.2192
2023-24 — OJHL 54 6 19 25 0.463 0.1135 0.1093 0.3188 0.3070
2024-25 Oakville Blades OJHL 33 5 13 18 0.545 0.1337 0.1219 0.3756 0.3424
■ 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 SUNY Brockport D3 SUNYAC FR 23 4 13 17 0.739
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.74
2025-26 · SUNY Brockport
+570.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
12%
NCAA D2/D3
55%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#8024
Defenseman overall
#1859
Defenseman born in 2004
#1683
in OJHL

D1 Comparables

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
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG

D2/3 Comparables

Aidan Gallagher
Misericordia · 2024-25
0.000 No data
actual D2/3 PPG
Bradley Pung
St. Norbert · 2014-15
0.567 Average
actual D2/3 PPG
Clay Ellerbrock
UMass Dartmouth · 2018-19
0.444 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.