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Jarrod Smith Elite Prospects ↗

Position: Forward DOB: 2004-01-22 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
2020-21 Cranbrook Bucks BCHL 19 0 2 2 0.105 0.0392 0.0392 0.1534 0.1534
2021-22 Cranbrook Bucks BCHL 52 6 9 15 0.288 0.1075 0.1137 0.4204 0.4446
2022-23 Cranbrook Bucks BCHL 47 12 13 25 0.532 0.1981 0.1998 0.7750 0.7817
2023-24 Cranbrook Bucks BCHL 14 1 3 4 0.286 0.1064 0.1024 0.4163 0.4008
■ 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 Holy Cross D1 AHA SO 18 1 2 3 0.167
2024-25 Holy Cross D1 AHA — 14 0 1 1 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.07
2024-25 · Holy Cross
-41.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#39321
Forward overall
#2510
Forward born in 2004
#2517
in BCHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Braedan Cross
Manhattanville · 2015-16
0.000 No data
actual D2/3 PPG
Will Christensen
Saint Anselm · 2018-19
0.000 No data
actual D2/3 PPG
Dave Gervais
Neumann · 2008-09
0.591 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.