icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Sioux Falls Stampede | USHL | 33 | 21 | 8 | 90.6% | 2.58 | 0 | 0.9980 | 87.1% |
| 2023-24 | — | NAHL | 23 | 11 | 8 | 92.3% | 2.88 | 1 | 0.9843 | 97.0% |
| 2023-24 | Youngstown Phantoms | USHL | 22 | 13 | 5 | 90.2% | 2.59 | 1 | 0.9980 | 93.2% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Vermont | D1 | 32 | 12 | 18 | 89.2% | 3.10 | 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 |
|---|---|---|---|---|---|---|
| Ashton Abel | AJHL | 90.9% | 87.0% | Boston University | 89.1% | 3.15 |
| Jared Whale | AJHL | 89.2% | 86.1% | Alaska Anchorage | 89.9% | 4.14 |
| Louden Hogg | USHL | 89.4% | 86.1% | Holy Cross | 87.3% | 3.29 |
| Dawson Cowan | WHL | 90.5% | 86.5% | Nebraska Omaha | 90.1% | 3.21 |
| Johnny Hicks | WHL | 90.9% | 86.6% | Denver | 95.5% | 1.25 |
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 |
|---|---|---|---|---|---|---|---|
| Nevin Tardif | USPHL-Premier | 90.4% | 88.0% | Worcester State | D3 | 89.8% | 3.54 |
| Zach Dosan | NA3HL | 92.1% | 87.8% | Gustavus Adolphus | D3 | 72.5% | 6.60 |
| Michael Paterson-Jones | USPHL-Premier | 92.0% | 88.7% | Wilkes | D3 | 89.5% | 3.08 |
| Justin Damon | USPHL-Premier | 94.0% | 91.5% | Gustavus Adolphus | D3 | 92.9% | 2.27 |
| Brody Haynes | NCDC | 92.5% | 92.3% | Elmira | D3 | 94.8% | 1.22 |
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.