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Josh Karnish Elite Prospects ↗

Position: Forward DOB: 2003-08-07 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
2021-22 Cedar Rapids RoughRiders USHL 40 6 6 12 0.300 0.1770 0.1797 0.9010 0.9149
2022-23 Cedar Rapids RoughRiders USHL 16 0 5 5 0.312 0.1843 0.1776 0.9386 0.9043
■ 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 Princeton D1 ECAC SR 20 6 0 6 0.300
2024-25 Princeton D1 ECAC JR 29 1 2 3 0.103
2023-24 Princeton D1 ECAC SO 27 3 1 4 0.148
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.15
2023-24 · Princeton
-3.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
8%
NCAA D2/D3
25%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#30142
Forward overall
#1755
Forward born in 2003
#2820
in USHL

D1 Comparables

Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Nikita Kozyrev
Buffalo State · 2017-18
1.231 Elite
actual D2/3 PPG
Lee Swallow
Milwaukee School of Engineering · 2003-04
1.214 Elite
actual D2/3 PPG
Nick Albano
UMass Boston · 2015-16
1.296 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.