icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | — | EHL | 22 | 8 | 10 | 90.1% | 3.79 | 0 | 0.9400 | 83.4% |
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 |
|---|---|---|---|---|---|---|
| Kyle Chauvette | USHL | 89.2% | 84.0% | Union | 90.5% | 2.87 |
| Beckham Dempsey | NCDC | 90.4% | 82.7% | Colorado College | — | — |
| Ethan Dahlmeir | USHL | 90.0% | 84.4% | Miami | 87.0% | 4.04 |
| Mathis Rousseau | QMJHL | 90.5% | 84.7% | Maine | 89.6% | 2.59 |
| Vinnie Purpura | USHL | 87.9% | 83.0% | Boston University | 86.0% | 4.90 |
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 |
|---|---|---|---|---|---|---|---|
| Tyler Sayger | USPHL-Premier | 90.8% | 84.5% | King's | D3 | 90.5% | 4.40 |
| Tyler Roy | USPHL-Premier | 91.1% | 84.8% | Neumann | D3 | 87.2% | 3.68 |
| Kannon Flageolle | NOJHL | 91.3% | 84.9% | Suffolk | D3 | 89.7% | 3.99 |
| Alexander Timmons | USPHL-Premier | 90.5% | 84.4% | Framingham State | D3 | 84.9% | 5.20 |
| Jeb Lindy | USPHL-Premier | 89.3% | 83.7% | Arcadia | D3 | 89.6% | 4.06 |
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.