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Danny Klaers Elite Prospects ↗

Position: Defense DOB: 2007-04-01 Country: USA
Notre Dame
BigTen D1

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
2022-23 Minnetonka USHS-MN 31 1 12 13 0.419 0.0531 0.0531 0.1019 0.1019
2023-24 Muskegon Lumberjacks USHL 11 0 1 1 0.091 0.0536 0.0588 0.2730 0.2993
2024-25 Muskegon Lumberjacks USHL 62 0 17 17 0.274 0.1618 0.1691 0.8235 0.8607
2025-26 Muskegon Lumberjacks USHL 43 1 20 21 0.488 0.2881 0.2872 1.4669 1.4624
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#6710
Defenseman overall
#940
Defenseman born in 2007

D1 Comparables

Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.28 Strong D
NCAAe PPG
Jaccob Slavin
USHL · 2012-13 · 0.53 PPG
→ Colorado College (0.78 D1 FR PPG)
0.31 Elite D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Gavin Bayreuther
USHL · 2012-13 · 0.55 PPG
→ St. Lawrence (0.95 D1 FR PPG)
0.32 Elite D
NCAAe PPG
Ian Brady
USHL · 2012-13 · 0.53 PPG
→ Nebraska Omaha (0.64 D1 FR PPG)
0.32 Elite D
NCAAe PPG

Notre Dame Alumni similar profiles who attended this school

Henry Nelson
USHS-MN 2020-21
0.03
actual FR PPG at Notre Dame
Matt Hellickson
USHL 2016-17
0.30
actual FR PPG at Notre Dame
Jordan Gross
USHL 2013-14
0.67
actual FR PPG at Notre Dame
Caeden Carlisle
OHL 2022-23
0.19
actual FR PPG at Notre Dame

D2/3 Comparables

Myles Abbate
Plymouth State · 2018-19
1.037 Elite
actual D2/3 PPG
Patrick Stillar
SUNY Morrisville · 2009-10
1.154 Elite
actual D2/3 PPG
Chris Peters
UMass Boston · 2015-16
0.720 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.