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Nicolas Müller Elite Prospects ↗

Position: Forward DOB: 1999-06-21 Country: Switzerland
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
2016-17 MoDo Hockey U20 SHL-J20 22 2 2 4 0.182 0.1010 0.1061 0.2420 0.2542
2017-18 MoDo Hockey U20 SuperElit 34 14 16 30 0.882 0.3482 0.3485 1.2157 1.2169
2018-19 MoDo Hockey U20 SuperElit 42 13 27 40 0.952 0.3758 0.3579 1.3121 1.2495
■ 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 7 22 29 0.763
2022-23 Michigan State D1 BigTen — 38 9 25 34 0.895
2021-22 Michigan State D1 BigTen — 36 1 5 6 0.167
2020-21 Michigan State D1 BigTen SO 26 2 6 8 0.308
2019-20 Michigan State D1 BigTen FR 36 3 5 8 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.22
2019-20 · Michigan State
-26.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#6688
Forward overall
#286
Forward born in 1999
#231
in SHL-J20

D1 Comparables

Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG

D2/3 Comparables

Rihards Marenis
Aurora · 2012-13
1.000 Elite
actual D2/3 PPG
Dylan Giorgio
Bethel · 2017-18
0.520 Average
actual D2/3 PPG
Tyler Rudek
Franklin Pierce · 2017-18
0.833 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.