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Jeremy Olinyk Elite Prospects ↗

Position: Forward DOB: 1992-03-02 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
2008-09 Dauphin Kings MJHL 1 0 0 0 0.000 — — — —
2009-10 Dauphin Kings MJHL 1 1 0 1 1.000 0.1925 0.2065 0.6306 0.6766
2010-11 St. Albert Steel AJHL 31 7 9 16 0.516 0.1731 0.1758 0.4776 0.4851
2011-12 Winnipeg Blues MJHL 61 27 41 68 1.115 0.2146 0.2090 0.7030 0.6847
2012-13 Winnipeg Blues MJHL 54 24 47 71 1.315 0.2531 0.2339 0.8291 0.7663
■ 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
2016-17 St. Norbert D3 NCHA — 22 7 9 16 0.727
2015-16 Adrian D3 NCHA GR 28 12 21 33 1.179
2014-15 Adrian D3 NCHA SR 30 11 17 28 0.933
2013-14 Adrian D3 NCHA JR 23 6 11 17 0.739
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.74
2013-14 · Adrian
+285.6% vs. projection

NCAAe Rankings

#16303
Forward overall
#622
Forward born in 1992
#105
in MJHL

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

Mason Kesselring
Curry · 2024-25
0.750 Strong
actual D2/3 PPG
Cole Pickup
Concordia · 2016-17
0.625 Average
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2005-06
0.840 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.