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Andon Cerbone Elite Prospects ↗

Position: Forward DOB: 2004-04-13 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
2018-19 Brunswick NE-Prep 23 0 1 1 0.043 0.0123 0.0123 0.0199 0.0199
2019-20 Brunswick NE-Prep 30 7 27 34 1.133 0.3197 0.3197 0.5186 0.5186
2020-21 Chicago Steel USHL 30 2 5 7 0.233 0.1434 0.1434 0.6873 0.6873
2021-22 Chicago Steel USHL 61 11 27 38 0.623 0.3830 0.4020 1.8355 1.9267
2022-23 — USHL 64 24 39 63 0.984 0.6051 0.6037 2.9002 2.8934
■ 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 Quinnipiac D1 ECAC JR 40 9 13 22 0.550
2024-25 Quinnipiac D1 ECAC SO 38 15 20 35 0.921
2023-24 Quinnipiac D1 ECAC FR 39 12 14 26 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.49
before college
→
Actual FR PPG
0.67
2023-24 · Quinnipiac
+36.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Pro / Other

NCAAe Rankings

#7567
Forward overall
#271
Forward born in 2004

D1 Comparables

Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.56 Average
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.56 Developing
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.58 Strong
NCAAe PPG
Frank Vatrano
USHL · 2012-13 · 1.00 PPG
→ UMass
0.61 No data
NCAAe PPG
Dennis Kravchenko
USHL · 2012-13 · 1.11 PPG
→ UMass (0.92 D1 FR PPG)
0.68 Elite
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
New England · 2017-18
1.667 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 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.