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Beau Janzig Elite Prospects ↗

Position: Defense DOB: 2003-11-17 Country: USA
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 Hermantown USHS-MN 31 4 6 10 0.323 0.0868 0.0868 0.0784 0.0784
2020-21 Hermantown USHS-MN 20 7 16 23 1.150 0.3096 0.3096 0.2793 0.2793
2021-22 Minnesota Wilderness NAHL 8 0 0 0 0.000 — — — —
2022-23 Minnesota Wilderness NAHL 58 5 18 23 0.397 0.1571 0.1604 0.4164 0.4252
2023-24 Minnesota Wilderness NAHL 53 5 25 30 0.566 0.2242 0.2182 0.5942 0.5783
■ 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 Air Force D1 AHA SO 37 1 3 4 0.108
2024-25 Air Force D1 AHA — 40 0 5 5 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.12
2024-25 · Air Force
-32.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
8%
NCAA D2/D3
38%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#6012
Defenseman overall
#1497
Defenseman born in 2003

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG

D2/3 Comparables

Primo Self
Endicott · 2021-22
0.682 Strong
actual D2/3 PPG
Kyler Matthews
Canton · 2017-18
0.941 Strong
actual D2/3 PPG
Alex Nagel
Wisconsin-Stout · 2017-18
0.423 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.