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Cameron Patton Elite Prospects ↗

Position: Forward DOB: 2000-07-05 Country: Canada
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
2017-18 Carleton Place Canadians CCHL 8 0 1 1 0.125 0.0271 0.0291 0.0967 0.1039
2018-19 Carleton Place Canadians CCHL 55 13 12 25 0.455 0.0986 0.1016 0.3516 0.3623
2019-20 Carleton Place Canadians CCHL 60 28 35 63 1.050 0.2277 0.2277 0.8124 0.8124
■ 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
2024-25 Plymouth State D3 LittleEast — 24 11 13 24 1.000
2023-24 Plymouth State D3 LittleEast — 28 10 15 25 0.893
2021-22 Utica D3 UCHC — 22 9 8 17 0.773
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.77
2021-22 · Utica
+1144.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
5%
NCAA D2/D3
90%
Pro / Other

NCAAe Rankings

#20623
Forward overall
#943
Forward born in 2000
#376
in CCHL

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

D2/3 Comparables

Spencer Barrow
Elmira · 2022-23
0.294 Developing
actual D2/3 PPG
Chad Merrell
University of New England · 2016-17
0.611 Average
actual D2/3 PPG
Kyle Scott
Lebanon Valley · 2017-18
0.188 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.