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Trevor Olson Elite Prospects ↗

Position: Forward DOB: 1993-11-22 Country: USA
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
2011-12 Green Bay Gamblers USHL 7 0 0 0 0.000 — — — —
2012-13 — USHL 63 17 33 50 0.794 0.5054 0.4930 2.3785 2.3200
2013-14 Sioux City Musketeers USHL 21 9 12 21 1.000 0.6368 0.5913 2.9967 2.7827
■ 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
2017-18 North Dakota D1 NCHC SR 28 2 10 12 0.429
2016-17 North Dakota D1 NCHC JR 38 6 10 16 0.421
2015-16 North Dakota D1 NCHC SO 36 0 4 4 0.111
2014-15 North Dakota D1 NCHC FR 19 3 0 3 0.158
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.51
before college
→
Actual FR PPG
0.16
2014-15 · North Dakota
-69.3% vs. projection

NCAAe Rankings

#1513
Forward overall
#63
Forward born in 1993
#188
in USHL

D1 Comparables

Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.70 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.44 Strong
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.57 Elite
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.52 No data
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.45 Developing
NCAAe PPG

D2/3 Comparables

Joona Juntunen
Saint Mary's · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 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.