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James Barbour Elite Prospects ↗

Position: Forward DOB: 2002-04-17 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
2020-21 Provo Predators USPHL-Premier 17 5 14 19 1.118 0.1462 0.1462 0.3793 0.3793
2021-22 — OJHL 53 19 22 41 0.774 0.1896 0.1831 0.5326 0.5142
2022-23 Johnstown Tomahawks NAHL 54 10 23 33 0.611 0.2245 0.2114 0.6450 0.6074
■ 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 Trinity D3 NESCAC GR 24 7 8 15 0.625
2024-25 Trinity D3 NESCAC SR 24 8 9 17 0.708
2023-24 Trinity D3 NESCAC JR 27 6 5 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.41
2023-24 · Trinity
+137.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
18%
NCAA D2/D3
30%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#19194
Forward overall
#1026
Forward born in 2002

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Dakota Zarudny
SUNY Geneseo · 2021-22
0.727 Strong
actual D2/3 PPG
Jared Weisert
Norwich · 2023-24
0.000 No data
actual D2/3 PPG
Dakota Ulmer
Bryn Athyn · 2016-17
0.538 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.