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Brett Boucher Elite Prospects ↗

Position: Forward DOB: 2004-05-01 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
2021-22 Fort McMurray Oil Barons AJHL 2 0 0 0 0.000 — — — —
2022-23 Fort McMurray Oil Barons AJHL 42 7 8 15 0.357 0.1198 0.1224 0.3310 0.3381
2023-24 Fort McMurray Oil Barons AJHL 42 3 10 13 0.309 0.1038 0.1011 0.2868 0.2795
2024-25 — SJHL 44 6 19 25 0.568 0.1456 0.1361 0.4211 0.3935
■ 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 Albertus Magnus D3 UCHC — 17 4 4 8 0.471
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.47
2025-26 · Albertus Magnus
+350.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
30%
NCAA D2/D3
57%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#38818
Forward overall
#2461
Forward born in 2004

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Danny O'Donnell
Aurora · 2016-17
0.280 Developing
actual D2/3 PPG
Travis Quigley
Southern New Hampshire · 2017-18
0.333 Developing
actual D2/3 PPG
Thomas Dunn
Fredonia · 2015-16
0.429 Average
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.