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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 0.0547 0.0568 0.1424 0.1479
2016-17 Granite City Lumberjacks NA3HL 45 20 16 36 0.800 0.0964 0.0946 0.2527 0.2479
2017-18 Granite City Lumberjacks NA3HL 43 28 30 58 1.349 0.1625 0.1512 0.4261 0.3965
■ 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 D3 — SO 21 4 2 6 0.286
2018-19 Saint Mary's D3 — FR 27 8 9 17 0.630
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.63
2018-19 · Saint Mary's
+472.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#34195
Forward overall
#1561
Forward born in 1997

D1 Comparables

Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Andrew Derton
St. Norbert · 2002-03
0.633 Average
actual D2/3 PPG
Nicholas Keck
SUNY Potsdam · 2015-16
0.526 Average
actual D2/3 PPG
Michael Falanga
SUNY Plattsburgh · 2016-17
0.579 Average
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.