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Cole Miller Elite Prospects ↗

Position: Defense DOB: 2002-08-27 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
2021-22 Sioux Falls Stampede USHL 54 3 9 12 0.222 0.1311 0.1269 0.6674 0.6462
2022-23 Sioux Falls Stampede USHL 52 0 4 4 0.077 0.0454 0.0416 0.2310 0.2116
■ 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 St. Thomas D1 CCHA — 38 0 6 6 0.158
2023-24 St. Thomas D1 CCHA — 37 1 6 7 0.189
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.19
2023-24 · St. Thomas
+164.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
10%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#19740
Defenseman overall
#3261
Defenseman born in 2002
#3958
in USHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 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
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 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

Jackson Drysdale
Canton · 2022-23
0.444 Average
actual D2/3 PPG
Anthony Orubor
Marian · 2016-17
0.000 No data
actual D2/3 PPG
Mike Crowley
SUNY Cortland · 2014-15
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.