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Mario Gasparini Elite Prospects ↗

Position: Defense DOB: 2003-02-28 Country: USA
No commitment set

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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
2019-20 Lakeville North USHS-MN 26 4 10 14 0.538 0.0663 0.0663 0.1308 0.1308
2020-21 Sioux Falls Stampede USHL 36 0 4 4 0.111 0.0655 0.0655 0.3273 0.3273
2021-22 Wenatchee Wild BCHL 44 4 21 25 0.568 0.2189 0.2217 — —
2022-23 Wenatchee Wild BCHL 45 2 26 28 0.622 0.2397 0.2310 0.9066 0.8738
■ 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 Augsburg D3 MIAC SR 16 0 2 2 0.125
2024-25 Vermont D1 HockeyEast — 6 0 1 1 0.167
2023-24 Vermont D1 HockeyEast — 11 1 0 1 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.09
2023-24 · Vermont
-57.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
5%
NCAA D2/D3
15%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#7377
Defenseman overall
#1746
Defenseman born in 2003

D1 Comparables

Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Jory McWilliams
Bethel · 2017-18
0.000 No data
actual D2/3 PPG
Adam Kudynski
Lebanon Valley · 2003-04
0.909 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 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.