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Sean Donaldson Elite Prospects ↗

Position: Forward DOB: 2001-03-28 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
2017-18 Trail Smoke Eaters BCHL 1 0 0 0 0.000 — — — —
2018-19 — BCHL 50 5 8 13 0.260 0.1002 0.1069 0.3784 0.4039
2019-20 Nanaimo Clippers BCHL 44 10 14 24 0.545 0.2102 0.2102 0.7939 0.7939
2020-21 Sioux Falls Stampede USHL 24 1 4 5 0.208 0.1229 0.1229 0.6256 0.6256
2021-22 Nanaimo Clippers BCHL 47 36 34 70 1.489 0.5739 0.5261 — —
■ 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 Cornell D1 ECAC SR 1 0 0 0 0.000
2024-25 Cornell D1 ECAC JR 16 0 0 0 0.000
2023-24 Cornell D1 ECAC SO 10 0 0 0 0.000
2022-23 Cornell D1 ECAC FR 22 3 7 10 0.455
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.45
2022-23 · Cornell
+48.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
45%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#12891
Forward overall
#598
Forward born in 2001

D1 Comparables

Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG

D2/3 Comparables

Mike Moher
Amherst · 2002-03
0.500 Average
actual D2/3 PPG
Christopher Garbe
Middlebury · 2016-17
0.000 No data
actual D2/3 PPG
Jack Kubitz
Bethel · 2018-19
0.000 No data
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.