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Filip Jakobsson Elite Prospects ↗

Position: Forward DOB: 1999-04-11 Country: Sweden
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
2017-18 Södertälje SK U20 SuperElit 40 4 13 17 0.425 0.1636 0.1622 0.5525 0.5477
2018-19 Södertälje SK U20 SuperElit 31 6 24 30 0.968 0.3726 0.3546 1.2580 1.1973
2019-20 — NAHL 33 2 14 16 0.485 0.1800 0.1800 0.5133 0.5133
■ 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
2022-23 Canton D3 — SO 18 4 10 14 0.778
2021-22 Canton D3 — FR 18 4 14 18 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
1.00
2021-22 · Canton
+320.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
55%
Pro / Other

NCAAe Rankings

#8088
Forward overall
#227
Forward born in 1999

D1 Comparables

Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.36 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.38 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.30 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Marlon Gardner
Neumann · 2006-07
1.067 Elite
actual D2/3 PPG
Josh Maucieri
St. Thomas · 2018-19
0.800 Strong
actual D2/3 PPG
Jake Fuss
New England · 2017-18
0.727 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.