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Dean Noonan Elite Prospects ↗

Position: Defense DOB: 2002-11-22 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 Neepawa Titans MJHL 42 1 6 7 0.167 0.0453 0.0455 0.1051 0.1056
2022-23 Neepawa Titans MJHL 51 1 8 9 0.176 0.0480 0.0460 0.1112 0.1065
■ 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 GR 7 0 0 0 0.000
2024-25 Alvernia D3 MAC SR 23 0 2 2 0.087
2023-24 Alvernia D3 MAC JR 23 0 3 3 0.130
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.13
2023-24 · Alvernia
+201.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
30%
NCAA D2/D3
50%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#26644
Defenseman overall
#3877
Defenseman born in 2002
#2291
in MJHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG

D2/3 Comparables

Jason Tuthill
St. Scholastica · 2004-05
0.222 Developing
actual D2/3 PPG
Mike Perrone
UMass Dartmouth · 2018-19
0.643 Average
actual D2/3 PPG
Pierre Larocque
Bowdoin · 2024-25
0.346 Developing
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.