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Eric Bertelsen Elite Prospects ↗

Position: Forward DOB: 2003-02-16 Country: Canada
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 Georgetown Raiders OJHL 27 10 8 18 0.667 0.2003 0.2018 0.4564 0.4597
2022-23 Burlington Cougars OJHL 45 17 35 52 1.156 0.3471 0.3319 0.7910 0.7563
2023-24 Burlington Cougars OJHL 54 26 29 55 1.018 0.3060 0.2767 0.6972 0.6304
■ 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
0.26
before college
→
Actual FR PPG
0.30
2024-25 · Elmira
+19.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#16164
Forward overall
#799
Forward born in 2003
#684
in OJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Greg Whittle
Elmira · 2011-12
0.731 Strong
actual D2/3 PPG
Ben Beaudoin
Wisconsin-River Falls · 2007-08
0.630 Average
actual D2/3 PPG
Zach Felser
SUNY Cortland · 2014-15
0.462 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.