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Logan Ganz Elite Prospects ↗

Position: Forward DOB: 2004-02-21 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
2022-23 Odessa Jackalopes NAHL 20 2 3 5 0.250 0.0919 0.0950 0.2639 0.2729
2023-24 Springfield Jr. Blues NAHL 49 10 7 17 0.347 0.1275 0.1258 0.3662 0.3612
2024-25 Springfield Jr. Blues NAHL 59 20 25 45 0.763 0.2802 0.2617 0.8050 0.7518
■ 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 Wisconsin-Eau Claire D3 WIAC FR 25 7 14 21 0.840
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.84
2025-26 · Wisconsin-Eau Claire
+373.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
42%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#27334
Forward overall
#1583
Forward born in 2004
#2316
in NAHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Patrick Cole
SUNY Plattsburgh · 2023-24
0.706 Strong
actual D2/3 PPG
Adam Keyes
Aurora · 2018-19
1.259 Elite
actual D2/3 PPG
Glynn Robitaille
Manhattanville · 2018-19
0.565 Average
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.