IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Zam Plante Elite Prospects ↗

Position: Forward DOB: 2004-08-24 Country: USA
2022 · Round 5, Pick #150  ·  Pittsburgh Penguins Pittsburgh Penguins
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
2020-21 Hermantown USHS-MN 20 29 32 61 3.050 0.3861 0.3861 0.2639 0.2639
2021-22 — USHL 31 10 11 21 0.677 0.3996 0.4267 2.0345 2.1726
2022-23 — USHL 51 12 21 33 0.647 0.3817 0.3877 1.9435 1.9743
2023-24 Fargo Force USHL 57 26 45 71 1.246 0.7348 0.7100 3.7410 3.6146
■ 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 Duluth D1 NCHC SO 40 20 31 51 1.275
2024-25 Minnesota Duluth D1 NCHC — 33 7 13 20 0.606
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.54
before college
→
Actual FR PPG
0.61
2024-25 · Minnesota Duluth
+12.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

98%
NCAA D1
0%
NCAA D2/D3
2%
Pro / Other

NCAAe Rankings

#4453
Forward overall
#103
Forward born in 2004

D1 Comparables

J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
Zach Stepan
USHL · 2012-13 · 1.39 PPG
→ Minnesota State (0.60 D1 FR PPG)
0.81 Strong
NCAAe PPG
Peter Quenneville
USHL · 2012-13 · 1.11 PPG
→ Quinnipiac (0.80 D1 FR PPG)
0.65 Elite
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.64 Average
NCAAe PPG

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 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.