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Tyson Doucette Elite Prospects ↗

Position: Forward DOB: 2004-01-30 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
2020-21 Soo Thunderbirds NOJHL 20 5 6 11 0.550 0.0919 0.0919 0.2290 0.2290
2021-22 Aurora Tigers OJHL 24 7 7 14 0.583 0.1430 0.1509 0.4016 0.4237
2022-23 Sarnia Sting OHL 58 4 4 8 0.138 0.0798 0.0786 0.3543 0.3491
2023-24 Sarnia Sting OHL 68 23 23 46 0.676 0.3914 0.3669 1.7383 1.6296
2024-25 Sarnia Sting OHL 65 20 16 36 0.554 0.3204 0.2838 1.4230 1.2606
■ 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 Colgate D1 ECAC FR 35 5 5 10 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.29
2025-26 · Colgate
+5.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
40%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#17123
Forward overall
#846
Forward born in 2004

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Jonny Ruiz
Johnson & Wales · 2014-15
0.731 Strong
actual D2/3 PPG
Derek Hanson
Wisconsin-Stout · 2005-06
1.000 Elite
actual D2/3 PPG
Corey Stark
Wisconsin-Superior · 2005-06
1.038 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.