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James Duerr Elite Prospects ↗

Position: Forward DOB: 2004-09-01 Country: USA
No commitment set

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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
2021-22 Janesville Jets NAHL 3 1 0 1 0.333 0.1321 0.1466 0.3499 0.3883
2022-23 Green Bay Gamblers USHL 57 2 7 9 0.158 0.0971 0.0987 0.4652 0.4731
2023-24 Green Bay Gamblers USHL 35 2 8 10 0.286 0.1756 0.1699 0.8417 0.8142
■ 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
2025-26 UMass D1 HockeyEast SO 13 1 2 3 0.231
2024-25 UMass D1 HockeyEast — 31 2 3 5 0.161
2024-25 UMass Lowell D1 HockeyEast — 31 2 3 5 0.161
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.16
2024-25 · UMass
+33.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
25%
NCAA D2/D3
30%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#37857
Forward overall
#2371
Forward born in 2004

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Mac Olson
Hobart · 2010-11
0.846 Strong
actual D2/3 PPG
Chris Carr
SUNY Oswego · 2009-10
0.583 Average
actual D2/3 PPG
Orrin Hergott
St. Norbert · 2001-02
0.839 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.