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

Aaron Garrison Elite Prospects ↗

Position: Forward DOB: 1998-07-11 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
2018-19 New Hampshire Avalanche EHL 2 1 2 3 1.500 0.3219 0.3086 0.7346 0.7042
■ 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
2022-23 Johnson & Wales D3 CNE SR 21 0 3 3 0.143
2021-22 Johnson & Wales D3 CNE JR 20 1 2 3 0.150
2020-21 Johnson & Wales D3 CNE SO 0 0 0 0 0.000
2019-20 Johnson & Wales D3 CNE FR 10 1 2 3 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.30
2019-20 · Johnson & Wales
+13.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

D1 Comparables

Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Payton Schaly
Plymouth State · 2021-22
0.760 Strong
actual D2/3 PPG
Luke Radetic
St. Thomas · 2017-18
0.885 Strong
actual D2/3 PPG
Colton Alexander
Canton · 2024-25
0.720 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.