IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Josh Groll Elite Prospects ↗

Position: Forward DOB: 2001-08-09 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
2017-18 Omaha Lancers USHL 2 1 0 1 0.500 0.2949 0.3297 1.5017 1.6788
2018-19 Chicago Steel USHL 53 9 9 18 0.340 0.2003 0.2136 1.0200 1.0877
2019-20 Lincoln Stars USHL 41 17 25 42 1.024 0.6043 0.6043 3.0767 3.0767
■ 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
2024-25 Minnesota D1 BigTen SR 38 14 18 32 0.842
2023-24 Minnesota D1 BigTen JR 34 7 13 20 0.588
2022-23 Minnesota D1 BigTen SO 30 5 6 11 0.367
2021-22 Minnesota D1 BigTen FR 40 4 8 12 0.300
2020-21 Michigan D1 BigTen FR 2 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
0%
NCAA D2/D3
48%
Pro / Other

NCAAe Rankings

#7041
Forward overall
#291
Forward born in 2001
#494
in USHL

D1 Comparables

Brandon Salerno
USHL · 2012-13 · 0.36 PPG
→ Alabama-Huntsville
0.22 No data
NCAAe PPG
Joel L'Esperance
USHL · 2012-13 · 0.39 PPG
→ Michigan Tech (0.59 D1 FR PPG)
0.24 Strong
NCAAe PPG
Tyler Moy
USHL · 2012-13 · 0.36 PPG
→ Harvard (0.37 D1 FR PPG)
0.22 Average
NCAAe PPG
Hudson Fasching
USHL · 2012-13 · 0.44 PPG
→ Minnesota (0.75 D1 FR PPG)
0.27 Strong
NCAAe PPG
Ryan Galt
USHL · 2012-13 · 0.46 PPG
→ Nebraska Omaha (0.29 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Chad Merrell
University of New England · 2015-16
0.611 Average
actual D2/3 PPG
Michael Aiello
UMass Dartmouth · 2005-06
1.000 Elite
actual D2/3 PPG
Justin Ross
Lake Forest · 2018-19
0.720 Strong
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.