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Nash Nienhuis Elite Prospects ↗

Position: Defense DOB: 1999-12-05 Country: Canada
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
2017-18 Muskegon Lumberjacks USHL 58 0 6 6 0.103 0.0610 0.0631 0.3106 0.3212
2018-19 Muskegon Lumberjacks USHL 52 2 11 13 0.250 0.1475 0.1449 0.7509 0.7377
2019-20 — USHL 44 2 30 32 0.727 0.4290 0.4290 2.1844 2.1844
■ 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
2023-24 Michigan State D1 BigTen — 38 9 15 24 0.632
2022-23 Michigan State D1 BigTen — 32 4 15 19 0.594
2021-22 Michigan State D1 BigTen — 36 3 11 14 0.389
2020-21 Michigan State D1 BigTen FR 25 0 4 4 0.160
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.16
2020-21 · Michigan State
+51.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#4040
Defenseman overall
#966
Defenseman born in 1999
#1894
in USHL

D1 Comparables

Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Vince Pedrie
USHL · 2012-13 · 0.32 PPG
→ Penn State (0.69 D1 FR PPG)
0.19 Elite D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG

D2/3 Comparables

Aaron Sawicki
Rivier · 2023-24
0.952 Strong
actual D2/3 PPG
Mike Kneeland
Lake Forest · 2002-03
1.429 Elite
actual D2/3 PPG
Zach Tarantino
UMass Dartmouth · 2018-19
0.667 Strong
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.