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

Eric Bertelsen Elite Prospects ↗

Position: Forward DOB: 2003-02-16 Country: Canada
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
2021-22 Georgetown Raiders OJHL 27 10 8 18 0.667 0.1634 0.1646 0.4590 0.4623
2022-23 Burlington Cougars OJHL 45 17 35 52 1.156 0.2832 0.2708 0.7956 0.7607
2023-24 Burlington Cougars OJHL 54 26 29 55 1.018 0.2496 0.2257 0.7012 0.6341
■ 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 Elmira D3 UCHC SO 23 3 7 10 0.435
2024-25 Elmira D3 UCHC — 23 5 2 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.30
2024-25 · Elmira
+45.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
12%
NCAA D2/D3
30%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#16626
Forward overall
#826
Forward born in 2003
#565
in OJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Zach Felser
SUNY Cortland · 2014-15
0.462 Average
actual D2/3 PPG
Tanner Froese
St. Norbert · 2013-14
0.615 Average
actual D2/3 PPG
Greg Whittle
Elmira · 2011-12
0.731 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.