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Ryan Franks Elite Prospects ↗

Position: Forward DOB: 2005-06-30 Country: USA
Canisius
AHA D1

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
2023-24 P.A.L. Junior Islanders NCDC 52 16 16 32 0.615 0.2509 0.2632 0.4947 0.5189
2024-25 P.A.L. Junior Islanders NCDC 54 31 30 61 1.130 0.4605 0.4626 0.9080 0.9121
2025-26 Youngstown Phantoms USHL 5 0 0 0 0.000 — — — —
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
32%
NCAA D2/D3
18%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#4660
Forward overall
#109
Forward born in 2005

D1 Comparables

Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG

Canisius Alumni similar profiles who attended this school

Ryan Miotto
BCHL 2018-19
0.21
actual FR PPG at Canisius
Jami Virtanen
SM-Liiga-Jr 2019-20
0.41
actual FR PPG at Canisius
Carter Anderson
SJHL 2023-24
0.52
actual FR PPG at Canisius
Dylan McLaughlin
USHL 2014-15
0.67
actual FR PPG at Canisius

D2/3 Comparables

Nikita Kozyrev
Buffalo State · 2017-18
1.231 Elite
actual D2/3 PPG
Graham Fallon
SUNY Cortland · 2005-06
0.917 Strong
actual D2/3 PPG
Lee Swallow
Milwaukee School of Engineering · 2003-04
1.214 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.