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Ryan Forberg Elite Prospects ↗

Position: Forward DOB: 2003-02-11 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
2019-20 Aurora Tigers OJHL 1 0 0 0 0.000 — — — —
2020-21 Toronto Patriots OJHL 0 0 0 0 0.000 — — — —
2021-22 Toronto Patriots OJHL 52 22 21 43 0.827 0.2027 0.2040 0.5660 0.5697
2022-23 Markham Royals OJHL 51 25 38 63 1.235 0.3028 0.2893 0.8456 0.8080
2023-24 Markham Royals OJHL 56 45 52 97 1.732 0.4245 0.3836 1.1856 1.0712
■ 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 — SO 24 6 11 17 0.708
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.71
2025-26 · SUNY Geneseo
+139.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
45%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#8287
Forward overall
#338
Forward born in 2003
#115
in OJHL

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Matt Volonnino
Plymouth State · 2014-15
1.056 Elite
actual D2/3 PPG
Brett Everson
Utica · 2016-17
0.895 Strong
actual D2/3 PPG
Cole Stewart
Southern New Hampshire · 2017-18
0.462 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.