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Danny Reis Elite Prospects ↗

Position: Defense DOB: 2003-04-06 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
2020-21 Minnesota Moose NA3HL 2 0 0 0 0.000 — — — —
2021-22 Anchorage Wolverines NAHL 52 5 12 17 0.327 0.1161 0.1207 0.3432 0.3567
2022-23 Anchorage Wolverines NAHL 53 5 10 15 0.283 0.1005 0.0995 0.2971 0.2942
2023-24 — NAHL 46 2 11 13 0.283 0.1004 0.0946 0.2967 0.2796
■ 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 SO 22 0 6 6 0.273
2024-25 Wisconsin-Eau Claire D3 WIAC FR 12 0 3 3 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.25
2024-25 · Wisconsin-Eau Claire
+174.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
22%
NCAA D2/D3
50%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#14650
Defenseman overall
#2769
Defenseman born in 2003

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
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
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 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

D2/3 Comparables

Cullen Chin
Neumann · 2015-16
0.000 No data
actual D2/3 PPG
Hunter Schneider
Wisconsin-River Falls · 2015-16
0.600 Average
actual D2/3 PPG
Brady O'Connor
Roger Williams · 2024-25
0.000 No data
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.