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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 0.0931 0.1103 0.2300 0.2724
2010-11 Trenton Golden Hawks OJHL 46 0 4 4 0.087 0.0243 0.0276 0.0600 0.0683
2011-12 — OJHL 30 0 6 6 0.200 0.0559 0.0611 0.1380 0.1509
2012-13 Lindsay Muskies OJHL 55 9 12 21 0.382 0.1067 0.1114 0.2635 0.2750
2013-14 Trenton Golden Hawks OJHL 53 21 26 47 0.887 0.2478 0.2460 0.6120 0.6075
2014-15 Trenton Golden Hawks OJHL 50 12 22 34 0.680 0.1900 0.1788 0.4693 0.4416
■ 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 — FR 9 1 3 4 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.44
2015-16 · SUNY Potsdam
+152.4% vs. projection

NCAAe Rankings

#21570
Forward overall
#862
Forward born in 1994
#1672
in OJHL

D1 Comparables

Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Ian Zaleski
Becker · 2018-19
0.476 Average
actual D2/3 PPG
Connor Roach
SUNY Brockport · 2022-23
0.421 Average
actual D2/3 PPG
Jesse Nemgar
St. Scholastica · 2010-11
2.000 Elite
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.