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Owen House Elite Prospects ↗

Position: Forward DOB: 2004-02-21 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
2020-21 Wayzata USHS-MN 14 0 1 1 0.071 0.0090 0.0090 0.0173 0.0173
2022-23 Bozeman Ice Dogs NA3HL 47 18 28 46 0.979 0.1228 0.1254 0.3090 0.3156
2023-24 Navan Grads CCHL 9 0 1 1 0.111 0.0241 0.0232 0.0860 0.0827
2024-25 New Jersey Bears EHL 45 19 33 52 1.156 0.2669 0.2536 0.5654 0.5372
■ 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
2025-26 Wilkes D3 MAC FR 11 0 2 2 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.18
2025-26 · Wilkes
+31.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D2/D3
2%
Club / ACHA
2%
Other

NCAAe Rankings

#21638
Forward overall
#1183
Forward born in 2004

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Cory Anderson
Manhattanville · 2014-15
0.739 Strong
actual D2/3 PPG
Jack Mortson
UMass Boston · 2022-23
0.467 Average
actual D2/3 PPG
Carlos Fornaris
New England College · 2015-16
1.115 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.