icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | — | BCHL | 18 | 6 | 8 | 89.5% | 3.06 | 1 | 0.9990 | 85.0% |
| 2023-24 | — | CCHL | 40 | 24 | 13 | 92.0% | 2.16 | 2 | 0.9700 | 87.8% |
| 2022-23 | — | CCHL | 18 | 9 | 6 | 91.8% | 2.83 | 2 | 0.9700 | 91.1% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | 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 |
|---|---|---|---|---|---|---|
| Brendan Holahan | NAHL | 89.7% | 85.0% | Union | 85.7% | 4.48 |
| Brandon Bussi | USHL | 91.5% | 85.3% | Western Michigan | 91.0% | 2.65 |
| Jack Williams | USHL | 90.8% | 84.5% | Notre Dame | 88.9% | 2.90 |
| Ben Bonisteel | OJHL | 92.6% | 84.6% | Canisius | 89.3% | 3.10 |
| Max Hildebrand | WHL | 91.8% | 85.6% | Bemidji State | 89.5% | 2.71 |
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 |
|---|---|---|---|---|---|---|---|
| Dylan Kruss | NCDC | 88.5% | 84.7% | Lake Forest | D3 | 91.8% | 2.84 |
| Michael Cammasso | USPHL-Premier | 92.4% | 85.1% | Johnson & Wales | D3 | 82.2% | 8.99 |
| Diego D'Alessandro | CCHL | 89.2% | 84.9% | King's | D3 | 86.5% | 4.68 |
| Gabe Rosek | NOJHL | 91.3% | 83.7% | Concordia | D3 | 90.2% | 4.56 |
| Freddy Soderberg | USPHL-Premier | 93.1% | 86.2% | Fitchburg State | D3 | 93.0% | 2.48 |
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.