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Parker Smith Elite Prospects ↗

Position: Forward DOB: 2009-04-17 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
2025-26 Sudbury Wolves OHL 5 1 0 1 0.200 0.1157 0.1268 0.5237 0.5741
2026-27 Sudbury Wolves OHL 5 1 3 4 0.800 0.4628 0.4628 2.0947 2.0947
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
65%
Pro / Other

NCAAe Rankings

D1 Comparables

Sean Malone
NTDP-U18 · 2012-13 · 0.66 PPG
→ Harvard (0.65 D1 FR PPG)
0.48 Strong
NCAAe PPG
Gabe Guertler
USHL · 2012-13 · 0.85 PPG
→ Minnesota (0.21 D1 FR PPG)
0.53 Developing
NCAAe PPG
Matthew Weis
USHL · 2012-13 · 0.71 PPG
→ Ohio State (0.67 D1 FR PPG)
0.44 Strong
NCAAe PPG
Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.48 Average
NCAAe PPG
Scott Conway
NAHL · 2012-13 · 0.95 PPG
→ Penn State (0.76 D1 FR PPG)
0.38 Strong
NCAAe PPG

D2/3 Comparables

Ryan Cusin
UMass Boston · 2013-14
1.600 Elite
actual D2/3 PPG
Sam Anderson
Albertus Magnus · 2017-18
0.720 Strong
actual D2/3 PPG
Ryan Stevens
Plymouth State · 2012-13
1.444 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.