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Caiden Gault Elite Prospects ↗

Position: Forward DOB: 2002-04-16 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 Selkirk Steelers MJHL 2 1 0 1 0.500 0.1359 0.1526 0.3151 0.3538
2019-20 Selkirk Steelers MJHL 59 25 22 47 0.797 0.2166 0.2166 0.5020 0.5020
2020-21 Spruce Grove Saints AJHL 16 4 5 9 0.562 0.1866 0.1866 0.5213 0.5213
2021-22 Spruce Grove Saints AJHL 58 46 27 73 1.259 0.4176 0.4046 1.1665 1.1303
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 Northern Michigan D1 CCHA SR 33 16 2 18 0.545
2024-25 Ferris State D1 CCHA SR 36 15 10 25 0.694
2023-24 Ferris State D1 CCHA JR 20 2 3 5 0.250
2022-23 Ferris State D1 CCHA SO 21 3 4 7 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
Actual FR PPG
0.33
2022-23 · Ferris State
+28.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
38%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#15855
Forward overall
#835
Forward born in 2002

D1 Comparables

USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG

D2/3 Comparables

Fredonia · 2022-23
0.750 Strong
actual D2/3 PPG
Canton · 2016-17
0.800 Strong
actual D2/3 PPG
Finlandia · 2013-14
0.409 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.