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Callum Gau Elite Prospects ↗

Position: Forward DOB: 2002-06-19 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
2018-19 Camrose Kodiaks AJHL 38 4 6 10 0.263 0.0873 0.0981 0.2439 0.2740
2019-20 Camrose Kodiaks AJHL 56 8 8 16 0.286 0.0948 0.0948 0.2648 0.2648
2020-21 Camrose Kodiaks AJHL 9 3 4 7 0.778 0.2581 0.2581 0.7209 0.7209
2021-22 Camrose Kodiaks AJHL 53 20 15 35 0.660 0.2191 0.2142 0.6121 0.5985
2022-23 Camrose Kodiaks AJHL 60 28 18 46 0.767 0.2544 0.2361 0.7106 0.6596
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 Augustana D1 CCHA GR 25 0 5 5 0.200
2024-25 Augustana D1 CCHA SR 23 1 1 2 0.087
2023-24 Augustana D1 CCHA JR 28 2 3 5 0.179
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
Actual FR PPG
0.18
2023-24 · Augustana
-8.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
8%
NCAA D2/D3
57%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#27125
Forward overall
#1555
Forward born in 2002
#996
in AJHL

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Aurora · 2024-25
1.031 Elite
actual D2/3 PPG
Aurora · 2017-18
0.778 Strong
actual D2/3 PPG
Milwaukee School of Engineering · 2004-05
0.741 Strong
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.