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Alex Lunski Elite Prospects ↗

Position: Forward DOB: 2005-12-13 Country: USA
St. Thomas
NCHC D1

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 Chanhassen USHS-MN 19 10 7 17 0.895 0.1133 0.1133 0.2173 0.2173
2021-22 Minnetonka USHS-MN 26 7 7 14 0.538 0.0682 0.0682 0.1308 0.1308
2022-23 Omaha Lancers USHL 9 0 1 1 0.111 0.0655 0.0708 0.3337 0.3607
2023-24 Chippewa Steel NAHL 25 4 4 8 0.320 0.1176 0.1266 0.3378 0.3638
2024-25 Madison Capitols USHL 21 1 5 6 0.286 0.1685 0.1652 0.8581 0.8412
2025-26 — NAHL 57 15 22 37 0.649 0.2385 0.2326 0.6851 0.6681
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
20%
NCAA D2/D3
32%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#27777
Forward overall
#1607
Forward born in 2005

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

St. Thomas Alumni similar profiles who attended this school

Luc Laylin
USHS-MN 2019-20
0.58
actual FR PPG at St. Thomas
Joshua Giuliani
USHS-MN 2021-22
0.27
actual FR PPG at St. Thomas
Casy Laylin
USHS-MN 2019-20
0.29
actual FR PPG at St. Thomas
Attila Lippai
USHS-MN 2022-23
0.19
actual FR PPG at St. Thomas

D2/3 Comparables

Ludvig Steenberg
Plymouth State · 2014-15
0.518 Average
actual D2/3 PPG
Nolan Zotter
Canton · 2022-23
0.545 Average
actual D2/3 PPG
Gage Christianson
Milwaukee School of Engineering · 2011-12
0.741 Strong
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.