IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Nathan Young Elite Prospects ↗

Position: Forward DOB: 2000-07-09 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
2018-19 Boston Jr. Rangers EHL 8 4 3 7 0.875 0.2021 0.2139 0.4281 0.4531
2019-20 Boston Jr. Rangers EHL 44 8 21 29 0.659 0.1523 0.1523 0.3225 0.3225
2020-21 Boston Jr. Rangers EHL 37 11 32 43 1.162 0.2685 0.2685 0.5687 0.5687
■ 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
2024-25 Elmira D3 UCHC SR 25 8 14 22 0.880
2023-24 Elmira D3 UCHC JR 28 3 1 4 0.143
2022-23 Elmira D3 UCHC SO 14 2 4 6 0.429
2021-22 Elmira D3 UCHC FR 17 3 3 6 0.353
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.35
2021-22 · Elmira
+92.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
75%
Other

NCAAe Rankings

#13343
Forward overall
#570
Forward born in 2000
#180
in EHL

D1 Comparables

Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Max Shuart
USHL · 2012-13 · 0.43 PPG
→ Michigan
0.25 No data
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Alex Rauter
USHL · 2012-13 · 0.41 PPG
→ Cornell (0.40 D1 FR PPG)
0.24 Average
NCAAe PPG

D2/3 Comparables

Ryan Swain
Neumann · 2013-14
0.905 Strong
actual D2/3 PPG
Tom Sköld
Westfield State · 2017-18
0.360 Average
actual D2/3 PPG
Matthew Francois
Wisconsin-Superior · 2017-18
0.333 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.