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Trent Sambrook Elite Prospects ↗

Position: Defense DOB: 2002-01-03 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
2019-20 Winkler Flyers MJHL 55 4 15 19 0.345 0.0939 0.0939 0.2177 0.2177
2020-21 Winkler Flyers MJHL 8 0 2 2 0.250 0.0680 0.0680 0.1575 0.1575
2021-22 Winkler Flyers MJHL 49 9 49 58 1.184 0.3218 0.3091 0.7460 0.7165
2022-23 Winkler Flyers MJHL 56 11 41 52 0.929 0.2525 0.2307 0.5852 0.5347
■ 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 Mercyhurst D1 AHA GR 21 0 4 4 0.191
2024-25 Mercyhurst D1 AHA SR 35 0 11 11 0.314
2023-24 Mercyhurst D1 AHA JR 28 3 10 13 0.464
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.46
2023-24 · Mercyhurst
+87.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
10%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#4779
Defenseman overall
#1252
Defenseman born in 2002
#301
in MJHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Joel Wetmore
Utica · 2011-12
0.577 Average
actual D2/3 PPG
Cory Anderson
Manhattanville · 2014-15
0.739 Strong
actual D2/3 PPG
Matt Hanewall
Milwaukee School of Engineering · 2018-19
0.864 Strong
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.