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Ryan Rosborough Elite Prospects ↗

Position: Forward DOB: 2000-05-24 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 Markham Royals OJHL 54 7 18 25 0.463 0.1391 0.1414 0.3169 0.3221
2019-20 Markham Royals OJHL 55 16 27 43 0.782 0.2349 0.2349 0.5351 0.5351
2020-21 — NCDC 37 14 15 29 0.784 0.4370 0.4370 0.6338 0.6338
■ 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 St. Cloud State D1 NCHC SR 34 2 4 6 0.176
2024-25 St. Cloud State D1 NCHC SR 28 1 0 1 0.036
2023-24 St. Cloud State D1 NCHC JR 20 3 2 5 0.250
2022-23 St. Cloud State D1 NCHC SO 19 0 3 3 0.158
2021-22 St. Cloud State D1 NCHC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
5%
NCAA D2/D3
85%
Pro / Other

NCAAe Rankings

#15204
Forward overall
#637
Forward born in 2000

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.18 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.19 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.21 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.24 Elite
NCAAe PPG

D2/3 Comparables

Nathaniel Bannister
Adrian · 2022-23
0.630 Average
actual D2/3 PPG
Mathieu MacMillan
Utica · 2022-23
0.474 Average
actual D2/3 PPG
Joel Ihrie
St. Olaf · 2000-01
1.080 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.