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Kellan Hjartarson Elite Prospects ↗

Position: Forward DOB: 2003-02-23 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 Cranbrook Bucks BCHL 54 19 17 36 0.667 0.2483 0.2513 0.9714 0.9831
2022-23 Cranbrook Bucks BCHL 54 14 23 37 0.685 0.2552 0.2458 0.9984 0.9615
■ 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 Bentley D1 AHA JR 40 10 24 34 0.850
2024-25 Bentley D1 AHA JR 40 8 8 16 0.400
2023-24 Bentley D1 AHA SO 34 8 9 17 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.50
2023-24 · Bentley
+135.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
8%
NCAA D2/D3
42%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#20871
Forward overall
#1088
Forward born in 2003
#1157
in BCHL

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

JC Humphreys
SUNY Cortland · 2023-24
0.481 Average
actual D2/3 PPG
Alain Joanette
St. Norbert · 2006-07
0.682 Strong
actual D2/3 PPG
Filip Jakobsson
Canton · 2018-19
1.000 Elite
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.