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Jamieson Franz Elite Prospects ↗

Position: Defense DOB: 2004-03-03 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
2023-24 La Ronge Ice Wolves SJHL 8 1 0 1 0.125 0.0320 0.0314 0.0942 0.0923
■ 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 University of Michigan-Dearborn ACHA_D1 — — 28 3 4 7 0.250
2024-25 University of Michigan-Dearborn ACHA_D1 — — 28 3 4 7 0.250
2023-24 University of Michigan-Dearborn ACHA_D1 — — 28 3 4 7 0.250
2022-23 University of Michigan-Dearborn ACHA_D1 — — 28 3 4 7 0.250
2021-22 University of Michigan-Dearborn ACHA_D1 — — 28 3 4 7 0.250
2020-21 University of Michigan-Dearborn ACHA_D1 — — 28 3 4 7 0.250

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
15%
NCAA D2/D3
22%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

D1 Comparables

Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG

D2/3 Comparables

Mason Emoff
Manhattanville · 2017-18
0.312 Developing
actual D2/3 PPG
Camron Cervone
SUNY Geneseo · 2018-19
0.357 Average
actual D2/3 PPG
Matt Kassab
Lebanon Valley · 2017-18
0.176 Developing
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.