icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | NAHL | 24 | 13 | 8 | 91.7% | 2.73 | 1 | 0.9843 | 82.9% |
| 2020-21 | — | NAHL | 27 | 18 | 6 | 92.4% | 2.18 | 3 | 0.9843 | 91.0% |
| 2019-20 | — | NOJHL | 16 | 7 | 5 | 91.9% | 2.96 | 3 | 0.9700 | 89.1% |
| 2019-20 | — | NAHL | 5 | 3 | 1 | 88.3% | 3.87 | 0 | 0.9843 | 86.9% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Mercyhurst | D1 | 12 | 3 | 4 | 90.6% | 3.62 | 0 |
| 2024-25 | Bowling Green | D1 | — | — | — | — | — | — |
| 2023-24 | Bowling Green | D1 | 1 | 0 | 0 | 87.5% | 3.31 | 0 |
| 2022-23 | Bowling Green | D1 | 3 | 1 | 1 | 86.2% | 4.25 | 0 |
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 |
|---|---|---|---|---|---|---|
| David Fessenden | NAHL | 91.5% | 82.6% | Alabama-Huntsville | 86.9% | 4.44 |
| Ajeetpal Gundarah | BCHL | 93.1% | 83.6% | Sacred Heart | 93.6% | 1.90 |
| Simon Bucheler | NAHL | 92.2% | 83.0% | Mercyhurst | 90.1% | 3.92 |
| Justen Close | SJHL | 92.8% | 82.4% | Minnesota | 78.6% | 6.09 |
| Jack Spicer | NAHL | 93.5% | 84.7% | Sacred Heart | 100.0% | — |
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 |
|---|---|---|---|---|---|---|---|
| Jack Fialkoff | NAHL | 89.0% | 82.8% | Trinity | D3 | 89.3% | 2.68 |
| Christian Green | MJHL | 91.8% | 83.3% | Neumann | D3 | 93.6% | 1.97 |
| Colten Lancaster | NCDC | 92.7% | 83.9% | Western New England | D3 | 85.2% | 5.41 |
| Will Augustine | USPHL-Premier | 94.0% | 82.5% | Rivier | D3 | 91.5% | 2.97 |
| Hunter Garvey | NAHL | 89.7% | 83.2% | St. Norbert | D3 | 92.2% | 1.90 |
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.