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Adam Sojka Elite Prospects ↗

Position: Forward DOB: 2003-10-03 Country: Czechia
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 Rytiri Kladno U20 USHL-Style-Czech 8 6 6 12 1.500 0.4632 0.4632 1.6020 1.6020
2021-22 HC Dukla Jihlava U20 USHL-Style-Czech 13 3 5 8 0.615 0.1900 0.1917 0.6572 0.6629
2022-23 HC Dukla Jihlava U20 USHL-Style-Czech 46 7 16 23 0.500 0.1544 0.1481 0.5340 0.5121
■ 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 Niagara ACHA_D1 AHA — 27 7 7 14 0.518
2024-25 Niagara ACHA_D1 AHA — 27 7 7 14 0.518
2023-24 Niagara ACHA_D1 AHA — 27 7 7 14 0.518
2022-23 Niagara ACHA_D1 AHA — 27 7 7 14 0.518
2021-22 Niagara ACHA_D1 AHA — 27 7 7 14 0.518
2020-21 Niagara ACHA_D1 AHA — 27 7 7 14 0.518

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
32%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#32642
Forward overall
#1967
Forward born in 2003
#319
in USHL-Style-Czech

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG

D2/3 Comparables

Sean Melso
SUNY Geneseo · 2021-22
0.500 Average
actual D2/3 PPG
Jonathan Grebosky
Concordia · 2012-13
0.769 Strong
actual D2/3 PPG
Adam Laite
University of New England · 2007-08
0.818 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.