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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 0.1062 0.1154 0.4995 0.5430
2019-20 Waterloo Black Hawks USHL 32 5 8 13 0.406 0.2587 0.2587 1.2173 1.2173
2020-21 Waterloo Black Hawks USHL 28 8 15 23 0.821 0.5231 0.5231 2.4615 2.4615
■ 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 — 26 1 6 7 0.269
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.27
2024-25 · North Dakota
+147.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
0%
NCAA D2/D3
65%
Pro / Other

NCAAe Rankings

#896
Defenseman overall
#225
Defenseman born in 2002
#1255
in USHL

D1 Comparables

Jake Linhart
USHL · 2012-13 · 0.12 PPG
→ Wisconsin (0.18 D1 FR PPG)
0.08 Average D
NCAAe PPG
Dan Willett
USHL · 2012-13 · 0.26 PPG
→ RIT (0.46 D1 FR PPG)
0.18 Strong D
NCAAe PPG
Josh Jacobs
USHL · 2012-13 · 0.31 PPG
→ Michigan State (0.26 D1 FR PPG)
0.22 Average D
NCAAe PPG
R.J. Gicewicz
USHL · 2012-13 · 0.33 PPG
→ St. Lawrence (0.22 D1 FR PPG)
0.23 Average D
NCAAe PPG
Anthony Walsh
USHL · 2012-13 · 0.08 PPG
→ Yale (0.07 D1 FR PPG)
0.06 Developing D
NCAAe PPG

D2/3 Comparables

Richard Manley
SUNY Geneseo · 2006-07
1.150 Elite
actual D2/3 PPG
Tyler Steuck
Saint Mary's · 2021-22
0.500 Average
actual D2/3 PPG
Mac Balson
Buffalo State · 2008-09
0.560 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.