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Daniel Nau Elite Prospects ↗

Position: Forward DOB: 2002-07-09 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
2019-20 Carolina Jr. Hurricanes USPHL-Elite 43 14 35 49 1.139 0.0849 0.0849 0.2609 0.2609
2020-21 Carolina Jr. Hurricanes USPHL-Premier 44 14 14 28 0.636 0.0718 0.0718 0.2161 0.2161
2021-22 Carolina Jr. Hurricanes USPHL-Premier 44 13 35 48 1.091 0.1231 0.1220 0.3704 0.3671
2022-23 Caledon Admirals OJHL 53 14 22 36 0.679 0.1665 0.1541 0.4671 0.4324
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 Wilkes D3 MAC GR 25 3 3 6 0.240
2024-25 Wilkes D3 MAC SR 27 7 13 20 0.741
2023-24 Wilkes D3 MAC JR 26 3 11 14 0.538
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
Actual FR PPG
0.54
2023-24 · Wilkes
+345.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
10%
NCAA D2/D3
60%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#20750
Forward overall
#1110
Forward born in 2002

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Norwich · 2003-04
1.235 Elite
actual D2/3 PPG
Wisconsin-Superior · 2012-13
0.429 Average
actual D2/3 PPG
SUNY Brockport · 2022-23
0.520 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.