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

A.J. Hodges Elite Prospects ↗

Position: Forward DOB: 2001-08-24 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 Wenatchee Wild BCHL 54 14 21 35 0.648 0.2497 0.2716 0.9432 1.0259
2019-20 — USHL 49 17 13 30 0.612 0.3611 0.3611 1.8387 1.8387
■ 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
2024-25 Bentley D1 AHA — 30 9 9 18 0.600
2023-24 Bentley D1 AHA — 29 6 9 15 0.517
2022-23 Michigan State D1 BigTen — 9 0 0 0 0.000
2021-22 Michigan D1 BigTen — 34 0 4 4 0.118
2021-22 Michigan State D1 BigTen — 35 0 4 4 0.114
2020-21 Michigan State D1 BigTen FR 22 0 2 2 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.09
2020-21 · Michigan State
-60.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
0%
NCAA D2/D3
60%
Pro / Other

NCAAe Rankings

#14296
Forward overall
#668
Forward born in 2001

D1 Comparables

Ryan Galt
USHL · 2012-13 · 0.46 PPG
→ Nebraska Omaha (0.29 D1 FR PPG)
0.29 Developing
NCAAe PPG
Joel L'Esperance
USHL · 2012-13 · 0.39 PPG
→ Michigan Tech (0.59 D1 FR PPG)
0.24 Strong
NCAAe PPG
Hudson Fasching
USHL · 2012-13 · 0.44 PPG
→ Minnesota (0.75 D1 FR PPG)
0.27 Strong
NCAAe PPG
Brandon Salerno
USHL · 2012-13 · 0.36 PPG
→ Alabama-Huntsville
0.22 No data
NCAAe PPG
Tyler Moy
USHL · 2012-13 · 0.36 PPG
→ Harvard (0.37 D1 FR PPG)
0.22 Average
NCAAe PPG

D2/3 Comparables

Lucas Michaud
Trinity · 2014-15
0.893 Strong
actual D2/3 PPG
Richard Manley
SUNY Geneseo · 2007-08
1.150 Elite
actual D2/3 PPG
Chad Merrell
University of New England · 2015-16
0.611 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.