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Mitch Zambon Elite Prospects ↗

Position: Forward DOB: 1998-03-29 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
2016-17 Canmore Eagles AJHL 47 6 4 10 0.213 0.0714 0.0726 0.1969 0.2003
2017-18 La Ronge Ice Wolves SJHL 30 9 16 25 0.833 0.2135 0.2100 0.6275 0.6173
2018-19 — SJHL 54 22 25 47 0.870 0.2230 0.2079 0.6554 0.6110
■ 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
2022-23 St. Norbert D3 NCHA SR 17 2 3 5 0.294
2021-22 St. Norbert D3 NCHA JR 12 2 3 5 0.417
2020-21 St. Norbert D3 NCHA SO 0 0 0 0 0.000
2019-20 St. Norbert D3 NCHA FR 16 1 2 3 0.188
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.19
2019-20 · St. Norbert
+4.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
20%
NCAA D2/D3
35%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#26330
Forward overall
#1305
Forward born in 1998

D1 Comparables

QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Curry · 2007-08
0.625 Average
actual D2/3 PPG
SUNY Geneseo · 2021-22
0.727 Strong
actual D2/3 PPG
Milwaukee School of Engineering · 2021-22
1.111 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.