icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | NCDC | 37 | 30 | 4 | 94.8% | 1.96 | 4 | 0.9400 | 83.4% |
| 2022-23 | — | NCDC | 36 | 21 | 8 | 91.9% | 2.83 | 1 | 0.9400 | 87.7% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | 12 | 9 | 2 | 93.5% | 1.66 | 2 |
| 2024-25 | Bentley | D1 | 1 | 0 | 1 | 95.2% | 0.99 | 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 |
|---|---|---|---|---|---|---|
| Colin Winn | BCHL | 90.2% | 82.5% | St. Lawrence | 88.3% | 4.50 |
| John Hawthorne | BCHL | 91.8% | 83.9% | Northern Michigan | 88.2% | 3.10 |
| Michael Sochan | BCHL | 90.6% | 82.1% | Robert Morris | 100.0% | — |
| Beni Halasz | NAHL | 92.1% | 85.2% | Northern Michigan | 91.9% | 2.32 |
| Matt Ladd | NAHL | 92.2% | 84.4% | Canisius | 86.8% | 3.97 |
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 |
|---|---|---|---|---|---|---|---|
| Dane Couture | NAHL | 88.1% | 83.7% | Concordia | D3 | 87.3% | 2.94 |
| Ben Cunneen | USPHL-Premier | 92.9% | 83.0% | Post | D2 | 89.2% | 4.30 |
| Cameron Smith | OJHL | 91.4% | 84.0% | Curry | D3 | 87.0% | 2.11 |
| Cole Defazio | OJHL | 89.7% | 82.7% | Neumann | D3 | 90.7% | 3.57 |
| Duncan Rolleman | USPHL-Premier | 92.5% | 83.2% | Wilkes | D3 | 90.0% | 3.84 |
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.