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Jackson Arcan Elite Prospects ↗

Position: Forward DOB: 1999-05-22 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
2016-17 Wellington Dukes OJHL 46 9 15 24 0.522 0.1458 0.1550 0.3600 0.3827
2017-18 Wellington Dukes OJHL 41 17 25 42 1.024 0.2862 0.2905 0.7069 0.7175
2018-19 Navan Grads CCHL 62 25 27 52 0.839 0.2394 0.2333 0.6492 0.6325
2019-20 Navan Grads CCHL 56 33 35 68 1.214 0.3466 0.3466 0.9400 0.9400
■ 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
2023-24 SUNY Oswego D3 SUNYAC JR 23 0 6 6 0.261
2022-23 SUNY Oswego D3 SUNYAC SO 23 6 7 13 0.565
2021-22 SUNY Oswego D3 SUNYAC FR 17 3 8 11 0.647
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.65
2021-22 · SUNY Oswego
+195.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
12%
NCAA D2/D3
25%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#10547
Forward overall
#350
Forward born in 1999

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.24 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Robin Höglund
NAHL · 2012-13 · 0.52 PPG
→ Minnesota
0.19 No data
NCAAe PPG

D2/3 Comparables

Sebastian Panetta
SUNY Geneseo · 2004-05
0.615 Average
actual D2/3 PPG
Andrew Morris
Elmira · 2000-01
0.500 Average
actual D2/3 PPG
Lawrence Cornellier
Wisconsin-Stevens Point · 2011-12
0.667 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.