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Tyrell Boucher Elite Prospects ↗

Position: Defense DOB: 1999-06-03 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
2016-17 Grande Prairie Storm AJHL 22 1 4 5 0.227 0.0762 0.0820 0.2103 0.2263
2017-18 Grande Prairie Storm AJHL 48 2 25 27 0.562 0.1887 0.1925 0.5205 0.5309
2018-19 Grande Prairie Storm AJHL 55 7 21 28 0.509 0.1708 0.1659 0.4711 0.4576
2019-20 Cowichan Valley Capitals BCHL 58 6 31 37 0.638 0.2458 0.2458 0.9283 0.9283
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
2023-24 Northern Michigan D1 CCHA SR 21 0 1 1 0.048
2022-23 Northern Michigan D1 CCHA JR 28 0 1 1 0.036
2021-22 Northern Michigan D1 CCHA SO 13 0 1 1 0.077
2020-21 Northern Michigan D1 WCHA FR 10 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
8%
NCAA D2/D3
28%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#6641
Defenseman overall
#1443
Defenseman born in 1999

D1 Comparables

USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

SUNY Oswego · 2009-10
0.333 Developing
actual D2/3 PPG
Wisconsin-Superior · 2005-06
0.815 Strong
actual D2/3 PPG
Wisconsin-River Falls · 2018-19
1.300 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.