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Jeremy Smith Elite Prospects ↗

Position: Defense DOB: 1998-07-16 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
2013-14 St. Michael's Buzzers OJHL 1 0 0 0 0.000 — — — —
2015-16 North York Rangers OJHL 1 0 1 1 1.000 0.2451 0.2612 0.6885 0.7336
2016-17 Newmarket Hurricanes OJHL 42 7 10 17 0.405 0.0992 0.1013 0.2787 0.2845
2017-18 Newmarket Hurricanes OJHL 33 8 25 33 1.000 0.2451 0.2384 0.6885 0.6696
2018-19 — BCHL 48 13 17 30 0.625 0.2408 0.2245 0.9096 0.8480
■ 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
2023-24 Hamilton D3 NESCAC SR 15 0 4 4 0.267
2022-23 Hamilton D3 NESCAC JR 14 0 1 1 0.071
2021-22 Hamilton D3 NESCAC SO 22 2 5 7 0.318
2020-21 Hamilton D3 NESCAC FR 0 0 0 0 0.000
2019-20 Quinnipiac D1 ECAC — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
2%
NCAA D2/D3
38%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#5392
Defenseman overall
#1171
Defenseman born in 1998

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Owen Sikich
Saint Mary's (MN) · 2017-18
0.630 Average
actual D2/3 PPG
Tyson Gilmour
SUNY Geneseo · 2018-19
0.762 Strong
actual D2/3 PPG
Peter Bates
St. Norbert · 2016-17
0.875 Strong
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.