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Owen Halloran Elite Prospects ↗

Position: Forward DOB: 2003-05-23 Country: Canada
No commitment set

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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
2021-22 Markham Royals OJHL 54 7 18 25 0.463 0.1135 0.1158 0.3169 0.3234
2022-23 Markham Royals OJHL 51 15 15 30 0.588 0.1442 0.1398 0.4026 0.3903
2023-24 Markham Royals OJHL 44 1 8 9 0.204 0.0501 0.0460 0.1400 0.1284
■ 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 Elmira D3 UCHC SO 25 7 8 15 0.600
2024-25 Elmira D3 UCHC — 15 0 2 2 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.13
2024-25 · Elmira
+86.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
28%
NCAA D2/D3
57%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#43275
Forward overall
#2775
Forward born in 2003
#2979
in OJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Brad Barber
Castleton · 2008-09
0.280 Developing
actual D2/3 PPG
Chase Mickelson
St. Norbert · 2017-18
0.300 Developing
actual D2/3 PPG
Grant Universal
Neumann · 2015-16
0.500 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.