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Bruce McDonald Elite Prospects ↗

Position: Forward DOB: 2004-12-18 Country: Canada
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
2021-22 Renfrew Wolves CCHL 1 0 0 0 0.000 — — — —
2022-23 Erie Otters OHL 67 7 11 18 0.269 0.1554 0.1600 0.7036 0.7244
2023-24 Erie Otters OHL 65 18 17 35 0.538 0.3115 0.3058 1.4100 1.3843
2024-25 Owen Sound Attack OHL 62 10 19 29 0.468 0.2706 0.2517 1.2246 1.1390
■ 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
2026-27 Robert Morris D1 AHA SO 0 0 0 0 0.000
2025-26 Robert Morris D1 AHA FR 38 3 13 16 0.421
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.42
2025-26 · Robert Morris
+80.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
12%
NCAA D2/D3
38%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#20808
Forward overall
#1129
Forward born in 2004

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Maxim Maziarchuk
Morrisville · 2023-24
0.684 Strong
actual D2/3 PPG
Payden Benning
Curry · 2007-08
1.074 Elite
actual D2/3 PPG
Tommy Malkmus
Finlandia · 2013-14
0.409 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.