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Nate Miller

Position: Forward DOB: ⚠ Missing — add in admin Country: ?
No commitment set

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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
1995-96 Twin City Vulcans USHL 46 23 31 54 1.174 0.7475 0.7175 3.5178 3.3768
2022-23 Breck USHS-MN 26 12 10 22 0.846 0.2278 0.2278 0.2055 0.2055
2023-24 Breck USHS-MN 26 22 36 58 2.231 0.6005 0.6005 0.5419 0.5419
■ 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
2007-08 Hamilton D3 — SR 22 2 2 4 0.182
2006-07 Hamilton D3 — JR 24 3 2 5 0.208
2005-06 Hamilton D3 — SO 15 1 4 5 0.333
2004-05 Hamilton D3 — FR 25 6 4 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.67
before college
→
Actual FR PPG
0.40
2004-05 · Hamilton
-40.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
32%
Other

NCAAe Rankings

#2479
Forward overall

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.72 Strong
NCAAe PPG
Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.69 Developing
NCAAe PPG
Tyler Kelleher
NTDP-U18 · 2012-13 · 0.88 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.67 Average
NCAAe PPG
Zach Diamantoni
USHL · 2012-13 · 1.00 PPG
→ Northern Michigan (0.26 D1 FR PPG)
0.66 Developing
NCAAe PPG

D2/3 Comparables

Dakota Dubetz
Marian · 2006-07
1.333 Elite
actual D2/3 PPG
Jonathan Grebosky
Concordia · 2011-12
0.769 Strong
actual D2/3 PPG
Adam Tretowicz
SUNY Plattsburgh · 2016-17
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.