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Joe Miller Elite Prospects ↗

Position: Forward DOB: 2002-09-15 Country: USA
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
2018-19 — USHL 1 0 0 0 0.000 — — — —
2020-21 — USHL 40 8 10 18 0.450 0.2655 0.2655 1.3515 1.3515
2021-22 — USHL 62 23 45 68 1.097 0.6470 0.6281 3.2941 3.1980
■ 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 Harvard D1 ECAC — 34 6 6 12 0.353
2024-25 Harvard D1 ECAC — 28 5 18 23 0.821
2023-24 Harvard D1 ECAC — 32 13 14 27 0.844
2022-23 Harvard D1 ECAC — 33 13 15 28 0.849
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.58
before college
→
Actual FR PPG
0.85
2022-23 · Harvard
+45.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#5538
Forward overall
#238
Forward born in 2002
#308
in USHL

D1 Comparables

Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.50 Strong
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
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.