icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | New Jersey Bears | EHL | 22 | — | — | 91.9% | 2.24 | — | 0.9400 | 86.4% |
| 2024-25 | — | EHL | 5 | 5 | 0 | 93.4% | 1.83 | 1 | 0.9400 | 87.6% |
| 2024-25 | — | NCDC | 3 | 0 | 3 | 84.2% | 5.56 | 0 | 0.9400 | 78.2% |
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 |
|---|---|---|---|---|---|---|
| Jared Whale | AJHL | 89.2% | 86.3% | Alaska Anchorage | 89.9% | 4.14 |
| Louden Hogg | USHL | 89.4% | 87.6% | Holy Cross | 87.3% | 3.29 |
| Ashton Abel | AJHL | 90.9% | 87.6% | Boston University | 89.1% | 3.15 |
| Dawson Cowan | WHL | 90.5% | 88.6% | Nebraska Omaha | 90.1% | 3.21 |
| Albin Boija | SHL-J20 | 92.1% | 85.8% | Maine | 91.6% | 2.01 |
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 |
|---|---|---|---|---|---|---|---|
| Zach Dosan | NA3HL | 92.1% | 86.7% | Gustavus Adolphus | D3 | 72.5% | 6.60 |
| Nevin Tardif | USPHL-Premier | 90.4% | 87.8% | Worcester State | D3 | 89.8% | 3.54 |
| Michael Paterson-Jones | USPHL-Premier | 92.0% | 88.9% | Wilkes | D3 | 89.5% | 3.08 |
| Connor Carbo | EHL | 89.3% | 89.2% | Wentworth | D3 | 92.3% | 3.00 |
| Tyler Fromolz | NA3HL | 92.0% | 86.3% | Marian | D3 | 88.3% | 3.85 |
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.