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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 0.4718 0.4718 1.6507 1.6507
2021-22 HC Dukla Jihlava U20 USHL-Style-Czech 13 3 5 8 0.615 0.1935 0.1952 0.6772 0.6831
2022-23 HC Dukla Jihlava U20 USHL-Style-Czech 46 7 16 23 0.500 0.1573 0.1508 0.5503 0.5277
■ 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 — — 27 7 7 14 0.518
2024-25 Niagara ACHA_D1 — — 27 7 7 14 0.518
2023-24 Niagara ACHA_D1 — — 27 7 7 14 0.518
2022-23 Niagara ACHA_D1 — — 27 7 7 14 0.518
2021-22 Niagara ACHA_D1 — — 27 7 7 14 0.518
2020-21 Niagara ACHA_D1 — — 27 7 7 14 0.518

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
5%
NCAA D2/D3
35%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#32767
Forward overall
#1972
Forward born in 2003
#318
in USHL-Style-Czech

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.17 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
0.14 No data
NCAAe PPG

D2/3 Comparables

Peyton Frantti
St. Norbert · 2016-17
0.871 Strong
actual D2/3 PPG
Tanner Spink
SUNY Oswego · 2015-16
0.591 Average
actual D2/3 PPG
Logan Nelson
Wisconsin-Stout · 2012-13
0.593 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.