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Nick Solema Elite Prospects ↗

Position: Forward DOB: 2000-06-07 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
2017-18 Skipjacks Hockey Club USPHL-Premier 41 9 14 23 0.561 0.0734 0.0798 0.1904 0.2069
2018-19 Mid Cities Jr. Stars NA3HL 47 17 29 46 0.979 0.1228 0.1263 0.3090 0.3177
2020-21 Minnesota Mullets USPHL-Premier 44 9 28 37 0.841 0.1100 0.1100 0.2854 0.2854
■ 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 Misericordia D3 MAC — 22 5 1 6 0.273
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.27
2024-25 · Misericordia
+195.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
82%
Other

NCAAe Rankings

#22749
Forward overall
#1061
Forward born in 2000
#1595
in USPHL-Premier

D1 Comparables

Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

D2/3 Comparables

Chris Taff
SUNY Plattsburgh · 2012-13
0.867 Strong
actual D2/3 PPG
Bryan Colburn
Johnson & Wales · 2017-18
0.304 Developing
actual D2/3 PPG
Tony DeVito
SUNY Cortland · 2013-14
0.632 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.