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Owen Corkish Elite Prospects ↗

Position: Forward DOB: 2007-06-04 Country: USA
St. Thomas
NCHC D1

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
2022-23 Park of Cottage Grove USHS-MN 26 16 32 48 1.846 0.2337 0.2337 0.4484 0.4484
2023-24 Park of Cottage Grove USHS-MN 25 12 26 38 1.520 0.1924 0.1924 0.3692 0.3692
2024-25 Minnesota Mallards NAHL 10 0 3 3 0.300 0.1102 0.1210 0.3167 0.3477
2025-26 Prince Albert Raiders WHL 68 12 20 32 0.471 0.2289 0.2296 1.1547 1.1583
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
12%
NCAA D2/D3
12%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#17201
Forward overall
#490
Forward born in 2007

D1 Comparables

Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG
Alex Rauter
USHL · 2012-13 · 0.41 PPG
→ Cornell (0.40 D1 FR PPG)
0.24 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG

St. Thomas Alumni similar profiles who attended this school

Joshua Giuliani
NAHL 2022-23
0.27
actual FR PPG at St. Thomas
Casy Laylin
USHS-MN 2019-20
0.29
actual FR PPG at St. Thomas
Luc Laylin
USHS-MN 2019-20
0.58
actual FR PPG at St. Thomas
Cameron Recchi
NAHL 2019-20
0.37
actual FR PPG at St. Thomas

D2/3 Comparables

Mike Fiume
Neumann · 2001-02
1.040 Elite
actual D2/3 PPG
Caden Triggs
Concordia · 2019-20
0.600 Average
actual D2/3 PPG
Craig Levey
Hobart · 2000-01
1.038 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.