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Ellis Rickwood Elite Prospects ↗

Position: Forward DOB: 2002-07-02 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
2018-19 Georgetown Raiders OJHL 1 0 0 0 0.000 — — — —
2020-21 Victoria Grizzlies BCHL 20 13 17 30 1.500 0.5587 0.5587 2.1856 2.1856
2021-22 Victoria Grizzlies BCHL 50 21 59 80 1.600 0.5960 0.5839 2.3314 2.2842
■ 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 North Dakota D1 NCHC SR 35 9 28 37 1.057
2024-25 Clarkson D1 ECAC SR 39 10 25 35 0.897
2023-24 Clarkson D1 ECAC JR 22 4 5 9 0.409
2022-23 Clarkson D1 ECAC SO 35 0 5 5 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.54
before college
→
Actual FR PPG
0.14
2022-23 · Clarkson
-73.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
0%
NCAA D2/D3
30%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#4110
Forward overall
#159
Forward born in 2002

D1 Comparables

J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.58 Elite
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.58 Developing
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.46 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2024-25
1.120 Elite
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.