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

Nick Baer Elite Prospects ↗

Position: Defense DOB: 2004-03-14 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 Minnetonka USHS-MN 27 3 2 5 0.185 0.0234 0.0234 0.0450 0.0450
2020-21 Minnetonka USHS-MN 20 4 11 15 0.750 0.0949 0.0949 — —
2022-23 Bismarck Bobcats NAHL 57 2 10 12 0.210 0.0773 0.0802 0.2222 0.2305
2023-24 Bismarck Bobcats NAHL 56 4 6 10 0.179 0.0656 0.0649 0.1885 0.1865
■ 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 Colorado College D1 NCHC SO 18 0 1 1 0.056
2024-25 Colorado College D1 NCHC — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
12%
NCAA D2/D3
22%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#16271
Defenseman overall
#3066
Defenseman born in 2004

D1 Comparables

Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Philip Elgstam
Norwich · 2017-18
0.409 Average
actual D2/3 PPG
Peter Keese
Albertus Magnus · 2022-23
0.217 Developing
actual D2/3 PPG
Brian Kang
Concordia · 2007-08
0.320 Developing
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.