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C.J. Zezima Elite Prospects ↗

Position: Forward DOB: 2002-03-12 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
2020-21 Charlotte Rush USPHL-Premier 32 17 28 45 1.406 0.1839 0.1839 0.4773 0.4773
2021-22 — NAHL 54 8 15 23 0.426 0.1565 0.1543 0.4495 0.4432
2022-23 Amarillo Wranglers NAHL 34 2 5 7 0.206 0.0756 0.0708 0.2173 0.2036
■ 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 Nichols D3 CNE GR 27 9 11 20 0.741
2024-25 Nichols D3 CNE SR 25 6 5 11 0.440
2023-24 Nichols D3 CNE JR 15 4 0 4 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.27
2023-24 · Nichols
+199.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
15%
NCAA D2/D3
62%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#37302
Forward overall
#2296
Forward born in 2002

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
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

Simon Diaz
Aurora · 2023-24
0.633 Average
actual D2/3 PPG
Alex Toscano
Wisconsin-Stout · 2015-16
0.385 Average
actual D2/3 PPG
Jarrett Kup
Curry · 2013-14
0.400 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.