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Nicholas Wolfenberg Elite Prospects ↗

Position: Defense DOB: 2004-06-11 Country: Canada
No commitment set

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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 Okotoks Oilers AJHL 36 3 10 13 0.361 0.1198 0.1290 0.3347 0.3604
2022-23 Okotoks Oilers AJHL 38 6 18 24 0.632 0.2096 0.2153 0.5854 0.6013
2023-24 — BCHL 14 0 5 5 0.357 0.1330 0.1306 0.5203 0.5110
■ 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 Cornell D1 ECAC SO 3 0 0 0 0.000
2024-25 Cornell D1 ECAC — 13 1 1 2 0.154
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.15
2024-25 · Cornell
-1.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
28%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#10203
Defenseman overall
#2207
Defenseman born in 2004

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG

D2/3 Comparables

Vincenzo Renda
Salve Regina · 2015-16
0.733 Strong
actual D2/3 PPG
James Pelton
UMass Dartmouth · 2016-17
0.615 Average
actual D2/3 PPG
Shane Remenda
SUNY Plattsburgh · 2001-02
0.655 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.