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Joe Schiller Elite Prospects ↗

Position: Defense DOB: 2004-09-23 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
2022-23 Cedar Rapids RoughRiders USHL 52 0 8 8 0.154 0.0945 0.0964 0.4531 0.4621
2023-24 Cedar Rapids RoughRiders USHL 41 1 4 5 0.122 0.0750 0.0728 0.3594 0.3487
■ 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 Northern Michigan D1 CCHA — 28 3 7 10 0.357
2024-25 Northern Michigan D1 CCHA — 10 0 3 3 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.30
2024-25 · Northern Michigan
+286.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
22%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#19826
Defenseman overall
#3476
Defenseman born in 2004
#4004
in USHL

D1 Comparables

Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Kyle Haines
SUNY Cortland · 2006-07
0.818 Strong
actual D2/3 PPG
Zach Blake
SUNY Plattsburgh · 2009-10
0.500 Average
actual D2/3 PPG
Chad Bennett
Fredonia · 2010-11
0.353 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.