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Philip Fankl Elite Prospects ↗

Position: Forward DOB: 2004-09-19 Country: Sweden
Signed Professionally
Leksands IF · SHL

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 Leksands IF U20 SuperElit 12 1 2 3 0.250 0.0987 0.1049 0.3444 0.3659
2022-23 Leksands IF U20 SuperElit 45 8 9 17 0.378 0.1491 0.1527 0.5205 0.5329
2023-24 Leksands IF U20 SuperElit 45 11 32 43 0.956 0.3771 0.3640 1.3165 1.2708
■ 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
2024-25 Michigan Tech D1 CCHA — 23 1 0 1 0.043
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.04
2024-25 · Michigan Tech
-81.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

#9014
Forward overall
#352
Forward born in 2004

D1 Comparables

Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.32 Developing
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.40 Developing
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Sam Rothstein
USHL · 2012-13 · 0.77 PPG
→ Colorado College (0.57 D1 FR PPG)
0.44 Strong
NCAAe PPG

D2/3 Comparables

Dakota Dubetz
Marian · 2007-08
1.333 Elite
actual D2/3 PPG
Kent Bostrom
Bethel · 2003-04
1.222 Elite
actual D2/3 PPG
Dylan Clarke
SUNY Plattsburgh · 2005-06
1.267 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.