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Nick Hatton Elite Prospects ↗

Position: Defense DOB: 2003-11-10 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 Bloomington Jefferson USHS-MN 26 1 7 8 0.308 0.0379 0.0379 0.0747 0.0747
2020-21 Bloomington Jefferson USHS-MN 18 4 11 15 0.833 0.1027 0.1027 0.2024 0.2024
2021-22 Bloomington Jefferson USHS-MN 26 5 8 13 0.500 0.0616 0.0616 0.1215 0.1215
2022-23 Dauphin Kings MJHL 55 1 21 22 0.400 0.0770 0.0775 0.2521 0.2537
2023-24 Chippewa Steel NAHL 59 1 10 11 0.186 0.0662 0.0644 0.1957 0.1903
■ 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 St. Olaf D3 MIAC SO 15 0 1 1 0.067
2024-25 St. Olaf D3 MIAC — 19 2 1 3 0.158
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.16
2024-25 · St. Olaf
+140.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
32%
NCAA D2/D3
42%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#17181
Defenseman overall
#3098
Defenseman born in 2003

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Austin Aksoy
Lake Forest · 2015-16
0.143 Developing
actual D2/3 PPG
Carson Gray
Wisconsin-Stout · 2011-12
0.000 No data
actual D2/3 PPG
Michael Schaber
Saint Mary's (MN) · 2009-10
0.318 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.