icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Detroit Red Wings
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NTDP-U18 | 34 | 30 | 1 | 92.6% | 2.13 | 1 | 0.9200 | 83.0% |
| 2022-23 | — | USHL | 14 | 10 | 1 | 92.8% | 2.34 | 1 | 0.9983 | 95.5% |
| 2021-22 | — | NTDP-U18 | 26 | 15 | 10 | 90.3% | 2.92 | 1 | 0.9200 | 84.2% |
| 2021-22 | — | USHL | 16 | 6 | 6 | 89.1% | 3.64 | 1 | 0.9983 | 95.1% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan State | D1 | 34 | 24 | 9 | 92.9% | 2.11 | 3 |
| 2024-25 | Michigan State | D1 | 30 | 19 | 7 | 92.4% | 2.08 | 3 |
| 2023-24 | Michigan State | D1 | 35 | 23 | 9 | 91.5% | 2.96 | 3 |
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 |
|---|---|---|---|---|---|---|
| Nicholas Kempf | NTDP-U18 | 89.7% | 80.4% | Notre Dame | 89.5% | 3.74 |
| Spencer Knight | NTDP-U18 | 91.3% | 82.3% | Boston College | 93.1% | 1.97 |
| Nicholas Kempf | USHL | 87.0% | 89.5% | Notre Dame | 89.5% | 3.74 |
| Tyler Muszelik | NTDP-U18 | 90.0% | 82.0% | New Hampshire | 88.3% | 3.24 |
| Mikhail Yegorov | USHL | 89.2% | 91.9% | Boston University | 92.7% | 2.15 |
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% | 87.8% | Worcester State | D3 | 89.8% | 3.54 |
| Cooper Rautenstrauch | NCDC | 90.6% | 92.2% | Colby | D3 | 93.4% | 2.08 |
| Cooper Rautenstrauch | NAHL | 88.9% | 92.2% | Colby | D3 | 93.4% | 2.08 |
| Zach Dosan | NA3HL | 92.1% | 86.7% | 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.