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Dylan Olsen Elite Prospects ↗

Position: Defense DOB: 1991-01-03 Country: Canada
2009 · Round 1, Pick #28  ·  Chicago Blackhawks Chicago Blackhawks
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
2006-07 Camrose Kodiaks AJHL 2 1 0 1 0.500 0.1677 0.1942 0.4627 0.5359
2007-08 Camrose Kodiaks AJHL 49 8 16 24 0.490 0.1643 0.1812 0.4533 0.5000
2008-09 Camrose Kodiaks AJHL 53 10 19 29 0.547 0.1835 0.1948 0.5064 0.5375
■ 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
2010-11 Minnesota Duluth D1 WCHA-orig SO 17 1 12 13 0.765
2009-10 Minnesota Duluth D1 NCHC FR 36 1 10 11 0.306
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.31
2009-10 · Minnesota Duluth
+70.9% vs. projection

NCAAe Rankings

#8732
Defenseman overall
#1133
Defenseman born in 1991
#1066
in AJHL

D1 Comparables

Clint Lewis
USHL · 2012-13 · 0.30 PPG
→ Cornell (0.06 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Garrett Cecere
USHL · 2012-13 · 0.28 PPG
→ Colorado College (0.09 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Jack Stander
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.17 D1 FR PPG)
0.20 Average D
NCAAe PPG
Gustav Olofsson
USHL · 2012-13 · 0.37 PPG
→ Colorado College (0.27 D1 FR PPG)
0.22 Average D
NCAAe PPG
Mark Auk
USHL · 2012-13 · 0.29 PPG
→ Michigan Tech (0.50 D1 FR PPG)
0.18 Elite D
NCAAe PPG

D2/3 Comparables

Chase Nieuwendyk
SUNY Brockport · 2008-09
0.667 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2006-07
0.556 Average
actual D2/3 PPG
Jared Coccimiglio
Neumann · 2021-22
0.750 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.