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Jack Smith Elite Prospects ↗

Position: Forward DOB: 2002-07-06 Country: USA
2020 · Round 4, Pick #102  ·  Montreal Canadiens Montreal Canadiens
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
2019-20 St. Cloud Cathedral USHS-MN 17 27 24 51 3.000 0.3798 0.3798 0.7287 0.7287
2020-21 — USHL 47 7 6 13 0.277 0.1632 0.1632 0.8307 0.8307
2021-22 — USHL 10 2 1 3 0.300 0.1770 0.1701 0.9010 0.8659
■ 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 Minnesota D1 BigTen — 40 11 11 22 0.550
2024-25 Minnesota Duluth D1 NCHC — 33 4 5 9 0.273
2023-24 Minnesota Duluth D1 NCHC — 34 3 9 12 0.353
2022-23 Minnesota Duluth D1 NCHC — 24 0 5 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.21
2022-23 · Minnesota Duluth
-4.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
8%
NCAA D2/D3
35%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#14226
Forward overall
#723
Forward born in 2002

D1 Comparables

Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Brandon Wahlin
Wisconsin-Eau Claire · 2011-12
1.231 Elite
actual D2/3 PPG
Matt Williams
Marian · 2007-08
1.148 Elite
actual D2/3 PPG
Tommy Fitzpatrick
Marian · 2006-07
1.208 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.