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Nolan Moyle Elite Prospects ↗

Position: Forward DOB: 1999-04-13 Country: USA
Signed Professionally
Shanghai Dragons · KHL

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 Green Bay Gamblers USHL 59 5 10 15 0.254 0.1500 0.1577 0.7635 0.8027
2017-18 Green Bay Gamblers USHL 57 19 26 45 0.789 0.4657 0.4665 2.3712 2.3753
2023-24 Shanghai Dragons KHL 55 4 7 11 0.200 0.5000 0.5450 2.7557 3.0036
2024-25 Shanghai Dragons KHL 12 1 1 2 0.167 0.4167 0.4419 2.2969 2.4357
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
2022-23 Michigan D1 BigTen GR 40 3 4 7 0.175
2021-22 Michigan D1 BigTen SR 36 7 8 15 0.417
2020-21 Michigan D1 BigTen JR 25 4 3 7 0.280
2019-20 Michigan D1 BigTen SO 33 3 4 7 0.212
2018-19 Michigan D1 BigTen FR 30 7 3 10 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
Actual FR PPG
0.33
2018-19 · Michigan
+13.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
0%
NCAA D2/D3
92%
Pro / Other

NCAAe Rankings

#6947
Forward overall
#295
Forward born in 1999

D2/3 Comparables

Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Elmira · 2014-15
0.800 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.