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Shane Kozlina Elite Prospects ↗

Position: Forward DOB: 2004-06-23 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
2022-23 Maine Nordiques NAHL 9 0 2 2 0.222 0.0880 0.0925 0.2333 0.2452
2023-24 Maine Nordiques NAHL 53 12 26 38 0.717 0.2841 0.2850 0.7528 0.7552
2024-25 Maine Nordiques NAHL 57 16 25 41 0.719 0.2850 0.2710 0.7552 0.7180
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
20%
NCAA D2/D3
55%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#17179
Forward overall
#858
Forward born in 2004
#970
in NAHL

D1 Comparables

USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.39 Developing
NCAAe PPG

D2/3 Comparables

Stevenson · 2021-22
0.421 Average
actual D2/3 PPG
Wisconsin-River Falls · 2013-14
0.893 Strong
actual D2/3 PPG
Saint Anselm · 2017-18
0.655 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.