icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | USPHL-Premier | 20 | 11 | 6 | 91.2% | 2.78 | 2 | 0.9400 | 81.4% |
| 2021-22 | — | NAHL | 1 | 1 | 0 | 90.6% | 3.00 | 0 | 0.9843 | 85.4% |
| 2019-20 | — | NAHL | 7 | 2 | 4 | 88.5% | 4.25 | 0 | 0.9843 | 87.1% |
| 2018-19 | — | NTDP-U18 | 1 | — | — | — | — | — | 0.9200 | — |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bethel | D3 | 17 | — | — | 90.5% | 2.72 | 0 |
| 2024-25 | Bethel | D3 | 12 | — | — | 88.4% | 2.68 | 0 |
| 2023-24 | Bethel | D3 | 7 | — | — | 90.2% | 4.00 | 0 |
| 2022-23 | Bethel | D3 | — | — | — | — | — | — |
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 |
|---|---|---|---|---|---|---|
| Alexander Tracy | USHL | 89.6% | 83.0% | Minnesota | 87.9% | 2.24 |
| Lucas Massie | USHL | 87.9% | 81.1% | Union | 80.5% | 5.73 |
| Gavin Moffatt | USHL | 89.3% | 82.4% | Western Michigan | — | — |
| Ryan Keyes | NCDC | 92.6% | 83.2% | Merrimack | 92.0% | 2.22 |
| Aaron Randazzo | USHL | 88.8% | 82.5% | Air Force | 82.4% | 5.23 |
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 |
|---|---|---|---|---|---|---|---|
| Dolan Gilbert | NA3HL | 91.0% | 81.2% | Concordia | D3 | 81.0% | 9.00 |
| Nolan Hildebrand | BCHL | 89.3% | 81.9% | Babson | D3 | 87.8% | 3.82 |
| Nolan Hildebrand | AJHL | 87.4% | 82.5% | Babson | D3 | 87.8% | 3.82 |
| Bodee Weiss | BCHL | 87.9% | 80.7% | Aurora | D3 | 87.9% | 2.93 |
| Josh Koziol | NA3HL | 93.3% | 83.8% | Augsburg | D3 | 71.4% | 5.76 |
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.