icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Muskegon Lumberjacks | USHL | 44 | 28 | 14 | 91.6% | 2.48 | 2 | 0.9983 | 90.0% |
| 2024-25 | — | NAHL | 19 | 14 | 4 | 93.7% | 1.74 | 6 | 0.9843 | 97.0% |
| 2024-25 | Sioux Falls Stampede | USHL | 4 | 1 | 1 | 83.7% | 4.95 | 0 | 0.9983 | 85.2% |
| 2023-24 | — | SHL | — | — | — | — | — | — | 1.0100 | — |
| 2023-24 | — | SuperElit | 33 | 22 | 10 | 89.3% | 3.12 | 2 | 0.9600 | 90.4% |
| 2023-24 | — | SHL-J20 | 33 | 22 | 10 | 89.3% | 3.12 | 2 | 0.9600 | 90.4% |
| 2022-23 | — | SHL-J20 | 2 | 1 | 1 | 82.3% | 5.50 | 0 | 0.9600 | 86.2% |
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 |
|---|---|---|---|---|---|---|
| Emmett Croteau | USHL | 91.7% | 90.2% | Clarkson | 83.5% | 3.53 |
| Arsenii Sergeev | USHL | 91.8% | 90.5% | UConn | 91.2% | 2.61 |
| Aiden Wright | USHL | 90.6% | 88.7% | Vermont | 89.2% | 3.10 |
| Carson Cherepak | MJHL | 92.1% | 89.2% | RPI | 89.6% | 3.11 |
| Nils Wallström | NAHL | 91.9% | 91.6% | American International | 92.0% | 2.27 |
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 |
|---|---|---|---|---|---|---|---|
| Brody Haynes | NCDC | 92.5% | 92.3% | Elmira | D3 | 94.8% | 1.22 |
| Justin Damon | USPHL-Premier | 94.0% | 91.2% | Gustavus Adolphus | D3 | 92.9% | 2.27 |
| Brayden Ingram | EHL | 91.2% | 92.3% | Assumption | D2 | 91.4% | 2.71 |
| Nevin Tardif | USPHL-Premier | 90.4% | 87.8% | Worcester State | D3 | 89.8% | 3.54 |
| Connor Carbo | EHL | 89.3% | 89.2% | Wentworth | D3 | 92.3% | 3.00 |
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.