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James Nash Elite Prospects ↗

Position: Forward DOB: 1998-11-25 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 East Coast Wizards EHL 44 16 21 37 0.841 0.1805 0.1764 0.4118 0.4025
■ 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 Southern New Hampshire D2 NE10 SR 22 2 4 6 0.273
2021-22 Southern New Hampshire D2 NE10 JR 17 3 0 3 0.176
2020-21 Southern New Hampshire D2 NE10 SO 0 0 0 0 0.000
2019-20 Southern New Hampshire D2 NE10 FR 23 5 10 15 0.652
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.65
2019-20 · Southern New Hampshire
+331.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#22809
Forward overall
#917
Forward born in 1998
#273
in EHL

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

James Coleman
SUNY Plattsburgh · 2000-01
0.500 Average
actual D2/3 PPG
Pat Twombly
UMass Dartmouth · 2017-18
0.000 No data
actual D2/3 PPG
Mike Perrone
UMass Dartmouth · 2018-19
0.643 Average
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.