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Jimmy Clark Elite Prospects ↗

Position: Forward DOB: 2004-09-24 Country: USA
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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 Edina USHS-MN 23 12 7 19 0.826 0.2224 0.2224 0.2007 0.2007
2020-21 — NTDP-U18 10 0 2 2 0.200 0.1551 0.1551 0.7444 0.7444
2021-22 — USHL 13 0 3 3 0.231 0.1419 0.1521 0.6800 0.7290
2022-23 — USHL 62 19 28 47 0.758 0.4660 0.4754 2.2335 2.2784
■ 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 JR 36 4 12 16 0.444
2024-25 Minnesota D1 BigTen SO 39 5 17 22 0.564
2023-24 Minnesota D1 BigTen FR 39 5 6 11 0.282
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.28
2023-24 · Minnesota
-4.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
2%
NCAA D2/D3
5%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#12962
Forward overall
#587
Forward born in 2004

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.43 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.46 Average
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.42 Elite
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2022-23
1.120 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.