icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | EHL | 17 | 12 | 3 | 90.8% | 2.90 | 0 | 0.9400 | 82.9% |
| 2020-21 | — | EHL | 2 | 1 | 0 | 92.7% | 3.28 | 0 | 0.9400 | 87.1% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Framingham State | D3 | 6 | — | — | 84.0% | 6.64 | — |
| 2024-25 | Framingham State | D3 | 12 | 2 | 9 | 86.8% | 4.52 | — |
| 2023-24 | Framingham State | D3 | 5 | 1 | 4 | 88.1% | 3.75 | — |
| 2022-23 | Framingham State | D3 | 3 | 1 | 2 | 86.4% | 4.74 | — |
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 |
|---|---|---|---|---|---|---|
| John Hawthorne | BCHL | 91.8% | 83.9% | Northern Michigan | 88.2% | 3.10 |
| Nick Bevilacqua | NCDC | 94.8% | 83.4% | Bentley | 95.2% | 0.99 |
| Colin Winn | BCHL | 90.2% | 82.5% | St. Lawrence | 88.3% | 4.50 |
| Malachi Klassen | MJHL | 91.7% | 82.2% | Holy Cross | — | 3.04 |
| Rorke Applebee | BCHL | 90.2% | 83.3% | Lake Superior State | 90.7% | 3.00 |
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 |
|---|---|---|---|---|---|---|---|
| Duncan Rolleman | USPHL-Premier | 92.5% | 83.2% | Wilkes | D3 | 90.0% | 3.84 |
| Tyler Sayger | NCDC | 89.4% | 83.4% | King's | D3 | 90.5% | 4.40 |
| Ben Cunneen | USPHL-Premier | 92.9% | 83.0% | Post | D2 | 89.2% | 4.30 |
| Jeff Zero | NA3HL | 95.0% | 83.7% | Elmira | D3 | 100.0% | — |
| Cole Defazio | OJHL | 89.7% | 82.7% | Neumann | D3 | 90.7% | 3.57 |
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.