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Eli Miller Elite Prospects ↗

Position: Forward DOB: 2004-10-09 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
2019-20 Lakeville South USHS-MN 29 12 5 17 0.586 0.0722 0.0722 0.1424 0.1424
2020-21 Lakeville South USHS-MN 22 2 5 7 0.318 0.0392 0.0392 0.0773 0.0773
2021-22 Lakeville South USHS-MN 30 12 9 21 0.700 0.0862 0.0862 0.1700 0.1700
2022-23 Houston Bulls NAHL 55 10 9 19 0.345 0.1227 0.1308 0.3627 0.3866
2023-24 Houston Bulls NAHL 59 6 14 20 0.339 0.1204 0.1226 0.3559 0.3623
2024-25 North Iowa Bulls NAHL 58 9 8 17 0.293 0.1041 0.1005 0.3077 0.2971
■ 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. Olaf D3 MIAC — 13 1 1 2 0.154
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.15
2025-26 · St. Olaf
+64.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
5%
NCAA D2/D3
57%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#41106
Forward overall
#2677
Forward born in 2004

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Robb Haider
Wisconsin-Stout · 2009-10
0.500 Average
actual D2/3 PPG
Ryan Bittner
Wisconsin-Stevens Point · 2014-15
0.000 No data
actual D2/3 PPG
Chris Nathe
Wisconsin-River Falls · 2002-03
0.471 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.