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Grayden Daul Elite Prospects ↗

Position: Defense DOB: 2003-01-31 Country: USA
No commitment set

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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 Janesville Jets NAHL 34 1 10 11 0.324 0.1189 0.1189 0.3415 0.3415
2021-22 Janesville Jets NAHL 56 11 28 39 0.696 0.2559 0.2637 0.7351 0.7575
2022-23 Sioux City Musketeers USHL 16 0 1 1 0.062 0.0369 0.0346 0.1877 0.1760
2023-24 Langley Rivermen BCHL 52 1 6 7 0.135 0.0519 0.0474 0.1959 0.1791
■ 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 SO 8 0 0 0 0.000
2024-25 Northern Michigan D1 CCHA — 28 0 1 1 0.036
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.04
2024-25 · Northern Michigan
-10.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
15%
NCAA D2/D3
62%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#25735
Defenseman overall
#3984
Defenseman born in 2003

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Mike DeGrazia
UMass Boston · 2008-09
0.467 Average
actual D2/3 PPG
Michael Giacometti
SUNY Morrisville · 2014-15
0.318 Developing
actual D2/3 PPG
Justin Harshaw
Post · 2021-22
0.200 Developing
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.