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Kyle Oleksiuk Elite Prospects ↗

Position: Forward DOB: 2000-08-22 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
2016-17 Dauphin Kings MJHL 55 9 4 13 0.236 0.0455 0.0520 0.1490 0.1704
2017-18 Dauphin Kings MJHL 57 17 20 37 0.649 0.1250 0.1369 0.4091 0.4481
2018-19 NAHL 45 7 15 22 0.489 0.1737 0.1835 0.5133 0.5421
2019-20 NAHL 45 11 19 30 0.667 0.2368 0.2368 0.7000 0.7000
2020-21 Austin Bruins NAHL 38 6 12 18 0.474 0.1683 0.1683 0.4973 0.4973
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
2024-25 Wisconsin-Eau Claire D3 WIAC SR 20 0 3 3 0.150
2023-24 Wisconsin-Eau Claire D3 WIAC JR 26 4 5 9 0.346
2022-23 Wisconsin-Eau Claire D3 WIAC SO 25 2 10 12 0.480
2021-22 Wisconsin-Eau Claire D3 WIAC FR 19 3 5 8 0.421
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
Actual FR PPG
0.42
2021-22 · Wisconsin-Eau Claire
+198.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
70%
Pro / Other

NCAAe Rankings

#26117
Forward overall
#1236
Forward born in 2000

D1 Comparables

USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG

D2/3 Comparables

SUNY Plattsburgh · 2016-17
0.720 Strong
actual D2/3 PPG
Marian · 2006-07
1.333 Elite
actual D2/3 PPG
Hobart · 2018-19
1.231 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.