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Owen Sikich Elite Prospects ↗

Position: Forward DOB: 1997-06-05 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
2015-16 Notre Dame Hounds SJHL 37 3 4 7 0.189 0.0485 0.0504 0.1425 0.1481
2016-17 Granite City Lumberjacks NA3HL 45 20 16 36 0.800 0.1019 0.1000 0.2530 0.2482
2017-18 Granite City Lumberjacks NA3HL 43 28 30 58 1.349 0.1718 0.1599 0.4266 0.3970
■ 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
2019-20 Saint Mary's (MN) D1 MIAC SO 21 4 2 6 0.286
2019-20 Saint Mary's (MN) D3 MIAC SO 21 4 2 6 0.286
2018-19 Saint Mary's (MN) D1 MIAC FR 27 8 9 17 0.630
2018-19 Saint Mary's (MN) D3 MIAC FR 27 8 9 17 0.630
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.63
2018-19 · Saint Mary's (MN)
+440.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#26406
Forward overall
#1204
Forward born in 1997

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

St. Norbert · 2002-03
0.633 Average
actual D2/3 PPG
SUNY Potsdam · 2015-16
0.526 Average
actual D2/3 PPG
Concordia (WI) · 2021-22
0.000 No data
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.