IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Camron Cervone Elite Prospects ↗

Position: Defense DOB: 1999-02-27 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 — NAHL 39 0 10 10 0.256 0.0942 0.0925 0.2706 0.2657
2019-20 — NAHL 43 0 4 4 0.093 0.0342 0.0342 0.0982 0.0982
■ 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
2023-24 SUNY Geneseo D3 SUNYAC JR 19 0 2 2 0.105
2022-23 SUNY Geneseo D3 SUNYAC SO 12 0 1 1 0.083
2021-22 SUNY Geneseo D3 SUNYAC FR 14 1 4 5 0.357
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.36
2021-22 · SUNY Geneseo
+309.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#24485
Defenseman overall
#3396
Defenseman born in 1999
#6460
in NAHL

D1 Comparables

Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Thomas Condon
Worcester State · 2018-19
0.000 No data
actual D2/3 PPG
Justin Merritt
Buffalo State · 2004-05
0.542 Average
actual D2/3 PPG
Tyler Currie
Adrian · 2014-15
0.438 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.