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Rhys Chiddenton Elite Prospects ↗

Position: Forward DOB: 2003-05-23 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 Timmins Rock NOJHL 2 2 1 3 1.500 0.2505 0.2939 0.6244 0.7327
2019-20 Georgetown Raiders OJHL 28 4 6 10 0.357 0.0875 0.0875 0.2459 0.2459
2020-21 Georgetown Raiders OJHL 0 0 0 0 0.000 — — — —
2021-22 Georgetown Raiders OJHL 50 22 20 42 0.840 0.2059 0.2101 0.5783 0.5901
2022-23 Georgetown Raiders OJHL 54 45 49 94 1.741 0.4266 0.4135 1.1985 1.1617
■ 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 Canisius D1 AHA JR 35 11 11 22 0.629
2024-25 Bemidji State D1 CCHA — 17 0 4 4 0.235
2023-24 Bemidji State D1 CCHA — 23 2 6 8 0.348
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.35
2023-24 · Bemidji State
+22.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
2%
NCAA D2/D3
10%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#12697
Forward overall
#593
Forward born in 2003

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Eric Bolden
Elmira · 2015-16
1.000 Elite
actual D2/3 PPG
Tyler Ramm
SUNY Plattsburgh · 2022-23
0.588 Average
actual D2/3 PPG
Jakob Breault
Utica · 2018-19
1.044 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.