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Josh Schmitt Elite Prospects ↗

Position: Defense DOB: 1988-03-11 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
2004-05 Buffalo Lightning OJHL 15 1 5 6 0.400 0.0980 0.1061 0.2754 0.2982
2005-06 Buffalo Lightning OJHL 42 0 7 7 0.167 0.0409 0.0428 0.1148 0.1201
2006-07 Buffalo Jr. Sabres OJHL 33 3 9 12 0.364 0.0891 0.0887 0.2503 0.2492
2007-08 Buffalo Jr. Sabres OJHL 41 0 5 5 0.122 0.0299 0.0284 0.0840 0.0798
2008-09 Buffalo Jr. Sabres OJHL 21 1 5 6 0.286 0.0700 0.0629 0.1967 0.1769
■ 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
2012-13 Utica D3 UCHC SR 17 2 8 10 0.588
2011-12 Utica D3 UCHC JR 12 2 6 8 0.667
2010-11 Utica D3 UCHC SO 18 2 5 7 0.389
2009-10 Utica D3 UCHC FR 15 2 7 9 0.600
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.60
2009-10 · Utica
+1193.1% vs. projection

NCAAe Rankings

#21269
Defenseman overall
#1750
Defenseman born in 1988
#4034
in OJHL

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 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
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Hogan Davidson
Nichols · 2015-16
0.407 Average
actual D2/3 PPG
Jide Idowu
Utica · 2012-13
0.286 Developing
actual D2/3 PPG
Gavin Duckworth
Nichols · 2024-25
0.423 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.