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Teydon Trembecky Elite Prospects ↗

Position: Forward DOB: 2005-04-28 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
2021-22 Brandon Wheat Kings WHL 5 0 1 1 0.200 0.0973 0.1064 0.4885 0.5343
2022-23 — WHL 65 12 9 21 0.323 0.1572 0.1646 0.7892 0.8264
2023-24 Victoria Royals WHL 50 10 10 20 0.400 0.1946 0.1942 0.9771 0.9750
2024-25 Victoria Royals WHL 67 46 42 88 1.313 0.6390 0.6035 3.2082 3.0298
■ 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
2026-27 Michigan Tech D1 CCHA SO 0 0 0 0 0.000
2025-26 Michigan Tech D1 CCHA FR 36 15 11 26 0.722
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.72
2025-26 · Michigan Tech
+91.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
22%
Age-Out / Club
62%
Pro / Other

NCAAe Rankings

#10027
Forward overall
#424
Forward born in 2005
#369
in WHL

D1 Comparables

Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG

D2/3 Comparables

Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 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.