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Nolan Kazeil Elite Prospects ↗

Position: Defense DOB: 2004-06-17 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 Sherwood Park Crusaders AJHL 3 0 0 0 0.000 — — — —
2022-23 Fort McMurray Oil Barons AJHL 43 1 4 5 0.116 0.0390 0.0401 0.1078 0.1108
2023-24 — AJHL 52 0 9 9 0.173 0.0581 0.0570 0.1604 0.1573
2024-25 Canmore Eagles AJHL 51 2 13 15 0.294 0.0986 0.0915 0.2726 0.2529
■ 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 Alvernia D3 MAC — 26 1 5 6 0.231
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.23
2025-26 · Alvernia
+214.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
25%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#21891
Defenseman overall
#3673
Defenseman born in 2004
#2360
in AJHL

D1 Comparables

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
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 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
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Matt Goeree
Fredonia · 2017-18
0.000 No data
actual D2/3 PPG
Blayne Goodman
Wentworth · 2001-02
0.690 Strong
actual D2/3 PPG
Bronson Zoltán Kovács
Hobart · 2010-11
0.476 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.