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Joe Miller Elite Prospects ↗

Position: Forward DOB: 1987-09-11 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
2006-07 — USHL 52 9 10 19 0.365 0.2327 0.2271 1.0950 1.0686
2007-08 Sioux City Musketeers USHL 60 23 26 49 0.817 0.5201 0.4809 2.4474 2.2628
■ 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 SR 34 6 6 12 0.353
2024-25 Harvard D1 ECAC JR 28 5 18 23 0.821
2023-24 Harvard D1 ECAC SO 32 13 14 27 0.844
2022-23 Harvard D1 ECAC FR 33 13 15 28 0.849
2016-17 St. Olaf D3 — SO 3 0 1 1 0.333
2015-16 St. Olaf D3 — FR 6 0 0 0 0.000
2011-12 Minnesota D1 — SR 10 1 0 1 0.100
2010-11 Minnesota D1 — JR 13 0 0 0 0.000
2009-10 Minnesota D1 — SO 13 0 0 0 0.000
2008-09 Minnesota D1 — FR 16 2 1 3 0.188
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.19
2008-09 · Minnesota
-42.3% vs. projection

NCAAe Rankings

#5283
Forward overall
#228
Forward born in 1987
#820
in USHL

D1 Comparables

Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.45 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.52 No data
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.42 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.47 Developing
NCAAe PPG

D2/3 Comparables

Ryan Woodward
SUNY Oswego · 2002-03
1.226 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 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.