icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | BCHL | 40 | 17 | 17 | 90.4% | 2.98 | 0 | 0.9990 | 82.0% |
| 2021-22 | — | USHL | 1 | 0 | 1 | 81.3% | 6.00 | 0 | 0.9980 | 71.5% |
| 2020-21 | — | NAHL | 35 | 13 | 15 | 91.4% | 3.23 | 0 | 0.9843 | 90.0% |
| 2019-20 | — | NAHL | 20 | 6 | 7 | 92.2% | 2.92 | 0 | 0.9843 | 90.8% |
| 2018-19 | — | NAHL | 1 | 0 | 0 | 88.2% | 3.00 | 0 | 0.9843 | 97.0% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Brown | D1 | 26 | 3 | 20 | 91.1% | 3.26 | 0 |
| 2024-25 | Brown | D1 | 6 | 0 | 4 | 93.6% | 2.02 | 0 |
| 2023-24 | Brown | D1 | 10 | 2 | 5 | 90.1% | 3.27 | 0 |
| 2022-23 | Michigan | 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 |
|---|---|---|---|---|---|---|
| Colin Winn | BCHL | 90.2% | 82.5% | St. Lawrence | 88.3% | 4.50 |
| Michael Sochan | BCHL | 90.6% | 82.1% | Robert Morris | 100.0% | — |
| Adam Manji | BCHL | 90.4% | 82.2% | American International | 92.1% | 2.70 |
| Nick Bevilacqua | NCDC | 94.8% | 83.4% | Bentley | 95.2% | 0.99 |
| Malachi Klassen | MJHL | 91.7% | 82.2% | Holy Cross | — | 3.04 |
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 |
|---|---|---|---|---|---|---|---|
| Braedyn McIntosh | BCHL | 91.9% | 82.2% | Aurora | D3 | 91.7% | 3.09 |
| Emil Norrman | USPHL-Premier | 91.3% | 81.2% | Buffalo State | D3 | 93.1% | 2.30 |
| Cole Defazio | OJHL | 89.7% | 82.7% | Neumann | D3 | 90.7% | 3.57 |
| Ben Cunneen | USPHL-Premier | 92.9% | 83.0% | Post | D2 | 89.2% | 4.30 |
| Dane Couture | MJHL | 86.5% | 80.8% | Concordia | D3 | 87.3% | 2.94 |
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.