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Stephen McDonald Elite Prospects ↗

Position: Forward DOB: 2002-07-26 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
2019-20 Cobourg Cougars OJHL 54 4 11 15 0.278 0.0681 0.0681 0.1902 0.1902
2020-21 Lindsay Muskies OJHL 0 0 0 0 0.000 — — — —
2021-22 Trenton Golden Hawks OJHL 50 7 11 18 0.360 0.0882 0.0864 0.2464 0.2413
2022-23 — OJHL 49 10 16 26 0.531 0.1301 0.1207 0.3632 0.3371
■ 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 GR 24 3 7 10 0.417
2024-25 Elmira D3 UCHC SR 19 0 2 2 0.105
2023-24 Elmira D3 UCHC JR 12 2 3 5 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.42
2023-24 · Elmira
+354.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
18%
NCAA D2/D3
45%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#41268
Forward overall
#2583
Forward born in 2002
#2733
in OJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Owen Watson
SUNY Potsdam · 2023-24
0.308 Developing
actual D2/3 PPG
Mark Williams
Marian · 2007-08
0.826 Strong
actual D2/3 PPG
Bron Loiselle
Lake Forest · 2014-15
0.474 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.