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Dane Montgomery Elite Prospects ↗

Position: Defense DOB: 2002-01-07 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
2018-19 Waterloo Black Hawks USHL 36 4 2 6 0.167 0.0983 0.1069 0.5007 0.5443
2019-20 Waterloo Black Hawks USHL 32 5 8 13 0.406 0.2396 0.2396 1.2200 1.2200
2020-21 Waterloo Black Hawks USHL 28 8 15 23 0.821 0.4845 0.4845 2.4670 2.4670
■ 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
2024-25 North Dakota D1 NCHC — 27 1 6 7 0.259
2023-24 North Dakota D1 NCHC — 16 1 1 2 0.125
2022-23 North Dakota D1 NCHC — 0 0 0 0 0.000
2021-22 North Dakota D1 NCHC — 16 1 2 3 0.188
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.19
2021-22 · North Dakota
+85.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
0%
NCAA D2/D3
57%
Pro / Other

NCAAe Rankings

#2659
Defenseman overall
#672
Defenseman born in 2002
#1270
in USHL

D1 Comparables

Jake Linhart
USHL · 2012-13 · 0.12 PPG
→ Wisconsin (0.18 D1 FR PPG)
0.08 Average D
NCAAe PPG
Kale Bennett
USHL · 2012-13 · 0.07 PPG
→ Western Michigan
0.05 No data
NCAAe PPG
Dan Willett
USHL · 2012-13 · 0.26 PPG
→ RIT (0.46 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Josh Jacobs
USHL · 2012-13 · 0.31 PPG
→ Michigan State (0.26 D1 FR PPG)
0.20 Average D
NCAAe PPG
R.J. Gicewicz
USHL · 2012-13 · 0.33 PPG
→ St. Lawrence (0.22 D1 FR PPG)
0.21 Average D
NCAAe PPG

D2/3 Comparables

Richard Manley
SUNY Geneseo · 2006-07
1.150 Elite
actual D2/3 PPG
Nicholas Vassos
Bowdoin · 2007-08
0.500 Average
actual D2/3 PPG
Tyler Steuck
Saint Mary's (MN) · 2021-22
0.500 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.