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Jeff Hutchinson Elite Prospects ↗

Position: Defense DOB: 2002-05-02 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
2019-20 Bismarck Bobcats NAHL 5 0 0 0 0.000 — — — —
2020-21 — NAHL 44 4 3 7 0.159 0.0630 0.0630 0.1670 0.1670
2021-22 New Mexico Ice Wolves NAHL 53 3 10 13 0.245 0.0972 0.0965 0.2575 0.2557
2022-23 New Mexico Ice Wolves NAHL 56 6 30 36 0.643 0.2547 0.2404 0.6750 0.6371
■ 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 Augustana D1 CCHA GR 1 0 0 0 0.000
2024-25 Augustana D1 CCHA SR 22 0 0 0 0.000
2023-24 Augustana D1 CCHA JR 22 0 1 1 0.045
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.05
2023-24 · Augustana
-73.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
57%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#9599
Defenseman overall
#2087
Defenseman born in 2002
#3468
in NAHL

D1 Comparables

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
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)
0.12 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Tyler Gobel
Western Connecticut · 2024-25
0.600 Average
actual D2/3 PPG
Eric Brenk
Augsburg · 2014-15
0.560 Average
actual D2/3 PPG
Patrik Peltola
Anna Maria · 2018-19
0.375 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.