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Josh Nenadal Elite Prospects ↗

Position: Forward DOB: 1994-05-14 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
2011-12 Waterloo Black Hawks USHL 36 1 4 5 0.139 0.0819 0.0862 0.4172 0.4390
2012-13 USHL 44 5 8 13 0.295 0.1743 0.1741 0.8875 0.8867
2013-14 Youngstown Phantoms USHL 55 3 6 9 0.164 0.0965 0.0919 0.4914 0.4680
2014-15 Youngstown Phantoms USHL 53 8 12 20 0.377 0.2226 0.2010 1.1335 1.0237
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
2018-19 Oswego D1 SR 27 9 9 18 0.667
2018-19 SUNY Oswego D3 SUNYAC SR 27 9 9 18 0.667
2017-18 Lake Superior State D1 WCHA JR 20 2 2 4 0.200
2016-17 Lake Superior State D1 WCHA SO 35 3 4 7 0.200
2015-16 Lake Superior State D1 WCHA FR 38 5 1 6 0.158
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
0.16
2015-16 · Lake Superior State
+17.2% vs. projection

NCAAe Rankings

#31812
Forward overall
#1223
Forward born in 1994
#2959
in USHL

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Wentworth · 2010-11
1.250 Elite
actual D2/3 PPG
Adrian · 2009-10
0.773 Strong
actual D2/3 PPG
Trine · 2018-19
0.643 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.