icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | SuperElit | 19 | 13 | 5 | 90.3% | 3.01 | 0 | 0.9600 | 84.8% |
| 2023-24 | — | SHL-J20 | 19 | 13 | 5 | 90.3% | 3.01 | 0 | 0.9600 | 84.8% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ferris State | D1 | 23 | 6 | 13 | 89.9% | 2.89 | 2 |
| 2024-25 | Ferris State | D1 | 3 | 0 | 1 | 83.6% | 5.17 | 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 |
|---|---|---|---|---|---|---|
| Paxton Geisel | USHL | 86.5% | 84.6% | Denver | 85.7% | 4.41 |
| Michael Chambre | USHL | 87.4% | 85.4% | Mercyhurst | 89.4% | 4.34 |
| Daniel Moor | USHL | 87.9% | 85.9% | Princeton | 85.2% | 2.83 |
| Jackson Irving | USHL | 88.8% | 87.2% | UMass | 100.0% | — |
| Josh Graziano | OJHL | 87.8% | 86.1% | Union | 84.8% | 4.40 |
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 |
| Nevin Tardif | USPHL-Premier | 90.4% | 88.0% | Worcester State | D3 | 89.8% | 3.54 |
| Cooper Rautenstrauch | NCDC | 90.6% | 93.8% | Colby | D3 | 93.4% | 2.08 |
| Cooper Rautenstrauch | NAHL | 88.9% | 94.0% | Colby | D3 | 93.4% | 2.08 |
| Zach Dosan | NA3HL | 92.1% | 87.8% | Gustavus Adolphus | D3 | 72.5% | 6.60 |
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.