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Clint Olson Elite Prospects ↗

Position: Forward DOB: 1987-01-13 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
2005-06 Melfort Mustangs SJHL 48 12 22 34 0.708 0.1815 0.1857 0.5339 0.5462
2006-07 Melfort Mustangs SJHL 55 5 18 23 0.418 0.1071 0.1039 0.3152 0.3058
2007-08 Melfort Mustangs SJHL 40 18 32 50 1.250 0.3202 0.2940 0.9423 0.8653
■ 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
2011-12 SUNY Geneseo D3 SUNYAC SR 26 5 13 18 0.692
2010-11 SUNY Geneseo D3 SUNYAC JR 22 3 8 11 0.500
2009-10 SUNY Geneseo D3 SUNYAC SO 21 7 6 13 0.619
2008-09 SUNY Geneseo D3 SUNYAC FR 24 8 6 14 0.583
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.58
2008-09 · SUNY Geneseo
+212.6% vs. projection

NCAAe Rankings

#19948
Forward overall
#661
Forward born in 1987
#230
in SJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
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

D2/3 Comparables

Mike McPherson
Plymouth State · 2017-18
0.333 Developing
actual D2/3 PPG
Mitchell Parsons
SUNY Brockport · 2017-18
0.577 Average
actual D2/3 PPG
Henry McKinney
Nazareth · 2018-19
0.536 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.