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Philip Björkman Elite Prospects ↗

Position: Defense DOB: 1999-04-28 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
2016-17 Djurgårdens IF U20 SHL-J20 34 0 0 0 0.000 — — — —
2017-18 Janesville Jets NAHL 50 0 13 13 0.260 0.0924 0.0956 0.2730 0.2825
2018-19 Janesville Jets NAHL 50 2 8 10 0.200 0.0710 0.0703 0.2100 0.2079
2019-20 — NAHL 9 1 2 3 0.333 0.1184 0.1184 0.3499 0.3499
■ 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 Nichols D3 CNE SR 20 0 7 7 0.350
2022-23 Nichols D3 CNE JR 22 2 8 10 0.455
2021-22 Nichols D3 CNE SO 25 0 8 8 0.320
2020-21 Nichols D1 — FR 3 0 2 2 0.667
2020-21 Nichols D3 CNE FR 3 0 2 2 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.67
2020-21 · Nichols
+736.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#22377
Defenseman overall
#3231
Defenseman born in 1999

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG

D2/3 Comparables

T.J. Warkentin
Wisconsin-River Falls · 2004-05
0.200 Developing
actual D2/3 PPG
Mike Wilson
UMass Dartmouth · 2006-07
0.000 No data
actual D2/3 PPG
Brad Norkum
Westfield State · 2008-09
0.385 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.