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Michael Fisher Elite Prospects ↗

Position: Defense DOB: 2004-05-02 Country: USA
2022 · Round 3, Pick #76  ·  San Jose Sharks San Jose Sharks
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. Marks NE-Prep 27 2 5 7 0.259 0.0514 0.0514 0.1181 0.1181
2021-22 St. Marks NE-Prep 26 12 36 48 1.846 0.3657 0.3657 0.8411 0.8411
2022-23 — USHL 14 0 0 0 0.000 — — — —
2024-25 — BCHL 35 2 14 16 0.457 0.1761 0.1631 0.6652 0.6162
■ 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 Cornell D1 ECAC SO 33 1 7 8 0.242
2023-24 Northeastern D1 HockeyEast — 29 1 1 2 0.069
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.07
2023-24 · Northeastern
-71.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
35%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#7002
Defenseman overall
#1692
Defenseman born in 2004

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 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
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 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

Brendan Dicker
Arcadia · 2021-22
0.542 Average
actual D2/3 PPG
Gramm McCormack
Milwaukee School of Engineering · 2021-22
1.111 Elite
actual D2/3 PPG
Matthew Lison
Bowdoin · 2013-14
1.083 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.