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Walter Zacher Elite Prospects ↗

Position: Forward DOB: 2002-04-02 Country: USA
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 Austin Bruins NAHL 39 12 4 16 0.410 0.1507 0.1507 0.4331 0.4331
2021-22 Austin Bruins NAHL 31 13 12 25 0.806 0.2963 0.2930 0.8513 0.8418
2022-23 Austin Bruins NAHL 58 32 23 55 0.948 0.3484 0.3274 1.0009 0.9406
■ 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 Canisius D1 AHA JR 32 19 12 31 0.969
2024-25 Robert Morris D1 AHA — 35 15 9 24 0.686
2023-24 Robert Morris D1 AHA — 33 5 17 22 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.67
2023-24 · Robert Morris
+148.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#14812
Forward overall
#749
Forward born in 2002
#684
in NAHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Ben Schmidling
St. Norbert · 2018-19
0.833 Strong
actual D2/3 PPG
Ian Ecklund
Wisconsin-Superior · 2013-14
0.518 Average
actual D2/3 PPG
Carlos Fornaris
New England College · 2015-16
1.115 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.