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Beni Halasz Elite Prospects ↗

Position: Goalie DOB: 2001-08-13 Country: Hungary
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NCAA Division I

Save % Equivalency
Goals Against Average
Base SV%
Year Adj
Source
Confidence

NCAA D3 / D2

Save % Equivalency
Goals Against Average
Base SV%
Year Adj
Source
Confidence
Career Trajectory
Dashed = raw SV%  ·  Solid blue = age-adj SVe%  ·  Green = actual college SV%
Goalie Junior Seasons
Season Team League GP W L SV% GAA SO SVe Factor Age-Adj SV%
2021-22 NAHL 43 26 13 92.1% 2.14 7 0.9843 85.2%
2020-21 NAHL 23 12 8 91.2% 2.81 1 0.9843 89.8%
SVe Factor = save% equivalency relative to NCAA D1 average  ·  COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div GP W L SV% GAA SO
2024-25 UMass Lowell D1 18 5 8 90.9% 2.57 3
2023-24 Northern Michigan D1 28 9 12 90.1% 2.84 2
2022-23 Northern Michigan D1 35 19 15 91.9% 2.32 3
Goalie Comparables (D1)

Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D1.

Name Junior League Junior SV% Adj SVe College NCAA SV% NCAA GAA
Gergely Orosz NAHL 91.9% 85.4% Alaska Anchorage 91.5% 2.75
Jackson Fuller NAHL 92.9% 86.2% Northern Michigan
Brandon Milberg NAHL 92.4% 85.0% Sacred Heart 86.3% 3.89
Quentin Sigurdson NAHL 92.3% 85.2% Northeastern 92.0% 2.13
Nick Bevilacqua NCDC 94.8% 83.4% Bentley 95.2% 0.99
Goalie Comparables (D2/D3)

Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D2/D3.

Name Junior League Junior SV% Adj SVe College Div SV% GAA
Nick Wiencek NCDC 91.8% 84.9% Lake Forest D3 94.4% 1.50
Max Macchioni USPHL-Premier 95.3% 85.1% Fitchburg State D3 92.2% 2.61
Max Macchioni NCDC 91.1% 84.7% Fitchburg State D3 92.2% 2.61
Cameron Smith OJHL 91.4% 84.0% Curry D3 87.0% 2.11
Matthew O'Donnell NAHL 88.6% 84.8% Aurora D3 91.0% 2.97

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.