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Tyler Donaldson Elite Prospects ↗

Position: Forward DOB: 1994-12-11 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
2009-10 Trenton Golden Hawks OJHL 3 0 1 1 0.333 0.0817 0.0968 0.2295 0.2718
2010-11 Trenton Golden Hawks OJHL 46 0 4 4 0.087 0.0213 0.0242 0.0599 0.0682
2011-12 — OJHL 30 0 6 6 0.200 0.0490 0.0536 0.1377 0.1506
2012-13 Lindsay Muskies OJHL 55 9 12 21 0.382 0.0936 0.0977 0.2629 0.2744
2013-14 Trenton Golden Hawks OJHL 53 21 26 47 0.887 0.2174 0.2158 0.6106 0.6062
2014-15 Trenton Golden Hawks OJHL 50 12 22 34 0.680 0.1667 0.1569 0.4682 0.4406
■ 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
2015-16 SUNY Potsdam D3 SUNYAC FR 9 1 3 4 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.44
2015-16 · SUNY Potsdam
+187.6% vs. projection

NCAAe Rankings

#27901
Forward overall
#1069
Forward born in 1994
#1376
in OJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
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
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Emil Samuelsson
Gustavus Adolphus · 2023-24
0.682 Strong
actual D2/3 PPG
Ian Zaleski
Becker · 2018-19
0.476 Average
actual D2/3 PPG
Braxton Powers
University of New England · 2024-25
0.333 Developing
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.