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Blake Forslund Elite Prospects ↗

Position: Forward DOB: 1992-02-25 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
2009-10 Collingwood Blues OJHL 52 4 12 16 0.308 0.0754 0.0788 0.2106 0.2200
2010-11 Collingwood Blues OJHL 16 9 4 13 0.812 0.1991 0.1987 0.5562 0.5552
2011-12 Caledon Admirals OJHL 48 22 25 47 0.979 0.2400 0.2289 0.6703 0.6394
2012-13 — OJHL 51 21 26 47 0.922 0.2259 0.2042 0.6308 0.5703
2015-16 Laurentian Univ. usports 19 1 4 5 0.263 — — — —
2016-17 Laurentian Univ. usports 27 0 1 1 0.037 — — — —
2017-18 Laurentian Univ. usports 28 7 8 15 0.536 — — — —
■ 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
2014-15 Fredonia D3 — SO 22 2 1 3 0.136
2013-14 Fredonia D3 — FR 22 5 3 8 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.36
2013-14 · Fredonia
+98.4% vs. projection

NCAAe Rankings

#18210
Forward overall
#690
Forward born in 1992

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Devon Rice
SUNY Geneseo · 2011-12
0.471 Average
actual D2/3 PPG
Ivan Galaguzov
Lawrence · 2018-19
0.444 Average
actual D2/3 PPG
Cody Ganchar
Milwaukee School of Engineering · 2011-12
0.862 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.