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Alex Ceselka Elite Prospects ↗

Position: Forward DOB: 2003-06-03 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
2021-22 Jersey Shore Whalers USPHL-Premier 35 14 25 39 1.114 0.1257 0.1303 0.3783 0.3920
2022-23 New Jersey Rockets USPHL-Premier 38 14 16 30 0.789 0.0891 0.0879 0.2680 0.2645
2023-24 New Jersey Bears EHL 32 7 8 15 0.469 0.0686 0.0662 0.2296 0.2217
■ 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 SUNY Oswego ACHA_D1 SUNYAC — 27 8 7 15 0.556
2024-25 SUNY Oswego ACHA_D1 SUNYAC — 27 8 7 15 0.556
2023-24 SUNY Oswego ACHA_D1 SUNYAC — 27 8 7 15 0.556
2022-23 SUNY Oswego ACHA_D1 SUNYAC — 27 8 7 15 0.556
2021-22 SUNY Oswego ACHA_D1 SUNYAC — 27 8 7 15 0.556
2020-21 SUNY Oswego ACHA_D1 SUNYAC — 27 8 7 15 0.556

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#22428
Forward overall
#1193
Forward born in 2003

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Billy Fetherston
SUNY Plattsburgh · 2001-02
0.231 Developing
actual D2/3 PPG
David Hopfer
Canton · 2015-16
0.438 Average
actual D2/3 PPG
Joe Christiano
SUNY Cortland · 2007-08
0.348 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.