icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Prince Albert Raiders | WHL | 55 | 33 | 16 | 91.8% | 2.87 | 3 | 1.0047 | 85.6% |
| 2023-24 | Prince Albert Raiders | WHL | 51 | 25 | 20 | 90.7% | 2.88 | 2 | 1.0047 | 88.2% |
| 2022-23 | — | WHL | 32 | 11 | 14 | 87.1% | 3.71 | 0 | 1.0047 | 87.9% |
| 2021-22 | — | SJHL | 9 | 5 | 4 | 88.9% | 3.24 | 0 | 0.9700 | 92.2% |
| 2021-22 | — | WHL | 5 | 0 | 3 | 88.2% | 3.54 | 0 | 1.0047 | 92.0% |
| 2020-21 | — | WHL | — | — | — | — | — | — | 1.0047 | — |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | D1 | 24 | 8 | 14 | 89.5% | 2.71 | 2 |
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 |
|---|---|---|---|---|---|---|
| Brandon Bussi | USHL | 91.5% | 85.3% | Western Michigan | 91.0% | 2.65 |
| Adam Manji | BCHL | 90.4% | 86.0% | American International | 92.1% | 2.70 |
| Brendan Holahan | NAHL | 89.7% | 85.0% | Union | 85.7% | 4.48 |
| 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 |
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 |
|---|---|---|---|---|---|---|---|
| Freddy Soderberg | USPHL-Premier | 93.1% | 86.2% | Fitchburg State | D3 | 93.0% | 2.48 |
| Kevin Lake | NAHL | 87.9% | 85.8% | Hamline | D3 | 91.7% | 2.54 |
| Kevin Lake | NA3HL | 95.1% | 85.4% | Hamline | D3 | 91.7% | 2.54 |
| Aiden Winslow | USPHL-Premier | 93.5% | 86.6% | Westfield State | D3 | 92.7% | 2.71 |
| Sam Edmands | USPHL-Premier | 93.4% | 86.5% | Post | D2 | 93.9% | 2.10 |
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.