IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Brayden Boehm Elite Prospects ↗

Position: Forward DOB: 2004-01-15 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 Medicine Hat Tigers WHL 15 1 2 3 0.200 0.0973 0.0973 0.4901 0.4901
2021-22 Medicine Hat Tigers WHL 65 7 12 19 0.292 0.1422 0.1464 0.7162 0.7374
2022-23 Medicine Hat Tigers WHL 58 18 19 37 0.638 0.3103 0.3050 1.5630 1.5363
2023-24 Medicine Hat Tigers WHL 12 5 5 10 0.833 0.4054 0.3785 2.0418 1.9063
2024-25 Medicine Hat Tigers WHL 65 19 32 51 0.785 0.3817 0.3360 1.9225 1.6922
■ 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 Michigan Tech D1 CCHA FR 28 6 3 9 0.321
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.32
2025-26 · Michigan Tech
+6.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
8%
NCAA D2/D3
78%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#10227
Forward overall
#422
Forward born in 2004
#544
in WHL

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Connor Armour
Adrian · 2014-15
1.357 Elite
actual D2/3 PPG
Yann Poirier
Wisconsin-Superior · 2000-01
1.030 Elite
actual D2/3 PPG
Jeremy Dawes
St. Scholastica · 2007-08
1.036 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.