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Nathan Hinze Elite Prospects ↗

Position: Forward DOB: 2004-11-27 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
2020-21 Chaska USHS-MN 19 1 4 5 0.263 0.0324 0.0324 0.0639 0.0639
2021-22 Chaska USHS-MN 28 2 6 8 0.286 0.0352 0.0352 0.0694 0.0694
2022-23 Chaska USHS-MN 26 6 11 17 0.654 0.0805 0.0805 0.1588 0.1588
2023-24 Willmar WarHawks NA3HL 32 3 15 18 0.562 0.0622 0.0629 0.1782 0.1803
2024-25 Willmar WarHawks NA3HL 47 12 32 44 0.936 0.1035 0.0993 0.2966 0.2846
■ 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 Beloit D3 WIAC FR 16 2 3 5 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.31
2025-26 · Beloit
+331.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
8%
Club / ACHA
0%
Other

NCAAe Rankings

#31484
Forward overall
#1872
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Nate Rogers
Milwaukee School of Engineering · 2016-17
0.500 Average
actual D2/3 PPG
Brandon Bissett
Hamline · 2017-18
0.360 Average
actual D2/3 PPG
C.J. Thompson
SUNY Oswego · 2003-04
0.296 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.