icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | USHL | 32 | 9 | 19 | 84.9% | 4.64 | 0 | 0.9980 | 72.5% |
| 2021-22 | — | USHL | 18 | 8 | 6 | 88.4% | 3.24 | 0 | 0.9980 | 81.9% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | 15 | 2 | 11 | 87.3% | 4.07 | 0 |
| 2024-25 | St. Lawrence | D1 | 28 | 8 | 19 | 90.0% | 2.98 | 2 |
| 2023-24 | St. Lawrence | D1 | 1 | 0 | 1 | 82.6% | 8.00 | 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 |
|---|---|---|---|---|---|---|
| Lucas Massie | USHL | 87.9% | 75.1% | Union | 80.5% | 5.73 |
| Andrew Oke | OHL | 87.6% | 74.6% | Lake Superior State | 87.9% | 3.95 |
| Connor Hasley | USHL | 86.7% | 73.6% | Bentley | 91.0% | 2.95 |
| Gavin Moffatt | USHL | 89.3% | 76.3% | Western Michigan | — | — |
| Jakub Krbecek | USHL | 84.7% | 71.3% | RIT | 89.3% | 3.90 |
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 |
|---|---|---|---|---|---|---|---|
| Chris Branch | USPHL-Premier | 84.7% | 73.2% | Lebanon Valley | D3 | 89.3% | 4.36 |
| Bodee Weiss | BCHL | 87.9% | 76.6% | Aurora | D3 | 87.9% | 2.93 |
| Nolan Hildebrand | AJHL | 87.4% | 77.5% | Babson | D3 | 87.8% | 3.82 |
| Nolan Hildebrand | BCHL | 89.3% | 77.6% | Babson | D3 | 87.8% | 3.82 |
| Hayden Williamson | OJHL | 85.8% | 76.4% | Arcadia | D3 | 92.0% | 3.36 |
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.