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Cameron Ricotta Elite Prospects ↗

Position: Forward DOB: 2002-05-17 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 Nichols NE-Prep 6 1 1 2 0.333 0.0660 0.0660 0.1519 0.1519
2020-21 Fairbanks Ice Dogs NAHL 30 5 7 12 0.400 0.1470 0.1470 0.4222 0.4222
2021-22 Fairbanks Ice Dogs NAHL 60 24 20 44 0.733 0.2694 0.2680 0.7740 0.7701
2022-23 Fairbanks Ice Dogs NAHL 50 11 25 36 0.720 0.2645 0.2502 0.7600 0.7189
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 Geneseo D3 SUNYAC SO 27 4 8 12 0.444
2024-25 Mercyhurst D1 AHA 2 0 0 0 0.000
2023-24 Mercyhurst D1 AHA 5 1 1 2 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
Actual FR PPG
0.40
2023-24 · Mercyhurst
+81.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
38%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#19975
Forward overall
#1068
Forward born in 2002

D1 Comparables

USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG

D2/3 Comparables

Wisconsin-River Falls · 2013-14
0.893 Strong
actual D2/3 PPG
Assumption · 2017-18
0.704 Strong
actual D2/3 PPG
Saint Anselm · 2017-18
0.655 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.