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Hunter Newhouse Elite Prospects ↗

Position: Forward DOB: 2002-10-18 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 Minnetonka USHS-MN 27 5 19 24 0.889 0.1095 0.1095 0.2159 0.2159
2020-21 Minnetonka USHS-MN 18 13 13 26 1.444 0.1780 0.1780 0.3508 0.3508
2021-22 — NAHL 54 8 8 16 0.296 0.1052 0.1069 0.3111 0.3161
2022-23 Kenai River Brown Bears NAHL 59 10 23 33 0.559 0.1987 0.1921 0.5872 0.5678
■ 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 Gustavus Adolphus D3 MIAC GR 24 4 12 16 0.667
2024-25 Gustavus Adolphus D3 MIAC SR 28 13 13 26 0.929
2023-24 Gustavus Adolphus D3 MIAC JR 19 2 6 8 0.421
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.42
2023-24 · Gustavus Adolphus
+211.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
8%
NCAA D2/D3
50%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#24243
Forward overall
#1352
Forward born in 2002

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Tucker Coborn
Concordia · 2011-12
0.692 Strong
actual D2/3 PPG
Dante Zapata
Utica · 2018-19
0.857 Strong
actual D2/3 PPG
Ryan Johnson
Nichols · 2024-25
0.000 No data
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.