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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 0.1559 0.1605 0.6885 0.7089
2023-24 Erie Otters OHL 65 18 17 35 0.538 0.3125 0.3068 1.3799 1.3547
2024-25 Owen Sound Attack OHL 62 10 19 29 0.468 0.2714 0.2524 1.1985 1.1148
■ 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 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
+79.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
48%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#20165
Forward overall
#1082
Forward born in 2004

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Ross Olsson
Endicott · 2014-15
1.364 Elite
actual D2/3 PPG
Kerry Barchan
Buffalo State · 2006-07
0.731 Strong
actual D2/3 PPG
Jack Paul
Bethel · 2008-09
0.960 Strong
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.