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Zach Smith Elite Prospects ↗

Position: Forward DOB: 2001-10-18 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
2017-18 Wellington Dukes OJHL 4 0 0 0 0.000 — — — —
2018-19 Georgetown Raiders OJHL 7 1 1 2 0.286 0.0700 0.0761 0.1956 0.2125
2019-20 Timmins Rock NOJHL 47 10 16 26 0.553 0.0788 0.0788 0.2295 0.2295
2020-21 Timmins Rock NOJHL 22 8 16 24 1.091 0.1553 0.1553 0.4526 0.4526
2021-22 Cobourg Cougars OJHL 49 15 23 38 0.775 0.1901 0.1788 0.5308 0.4994
■ 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 Neumann D3 MAC — 28 14 10 24 0.857
2024-25 Neumann D3 MAC — 26 15 10 25 0.962
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.96
2024-25 · Neumann
+715.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
50%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#25375
Forward overall
#1271
Forward born in 2001
#1198
in OJHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Mike Collins
Elmira · 2011-12
1.000 Elite
actual D2/3 PPG
Greg Diamond
SUNY Geneseo · 2024-25
0.518 Average
actual D2/3 PPG
Shane Prifrel
Worcester State · 2021-22
0.630 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.