icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Surrey Eagles | BCHL | 3 | 0 | 3 | 83.8% | 4.49 | 0 | 0.9990 | 83.7% |
| 2025-26 | Sherbrooke Phoenix | QMJHL | 18 | 3 | 10 | 86.4% | 3.85 | 0 | 0.9938 | 86.6% |
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 |
|---|---|---|---|---|---|---|
| Simon Latkoczy | USHL | 88.7% | 85.7% | Nebraska Omaha | 91.9% | 2.32 |
| Max Väyrynen | SM-Liiga-Jr | 91.2% | 86.5% | Michigan Tech | 90.3% | 2.32 |
| Cameron Korpi | USHL | 89.2% | 86.1% | Michigan | 90.4% | 3.08 |
| Mitch Gibson | USHL | 89.0% | 86.3% | Harvard | 91.6% | 2.61 |
| Jarrett Fiske | CCHL | 90.9% | 86.6% | American International | — | — |
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 Fromolz | NA3HL | 92.0% | 86.3% | Marian | D3 | 88.3% | 3.85 |
| Andrew Doran | NA3HL | 93.4% | 87.0% | Utica | D3 | 100.0% | — |
| Jarret Bovarnick | EHL | 88.3% | 87.5% | Suffolk | D3 | 87.2% | 4.52 |
| Brandon Shantz | NA3HL | 89.7% | 82.9% | Plymouth State | D3 | 92.1% | 3.00 |
| Cameron Kuntar | NCDC | 89.3% | 89.1% | Chatham | D3 | 92.4% | 2.62 |
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.