icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Sudbury Wolves | OHL | 47 | 19 | 20 | 90.1% | 3.45 | 0 | 1.0008 | 84.8% |
| 2023-24 | Sudbury Wolves | OHL | 16 | 6 | 6 | 87.6% | 3.25 | 0 | 1.0008 | 88.8% |
| 2022-23 | — | OHL | 25 | 13 | 7 | 89.1% | 3.21 | 1 | 1.0008 | 96.2% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | RPI | D1 | 24 | 8 | 15 | 90.9% | 2.82 | 1 |
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 |
|---|---|---|---|---|---|---|
| Ryan Bischel | USHL | 90.5% | 85.5% | Notre Dame | 91.5% | 2.52 |
| Evan Fear | USHL | 90.8% | 85.7% | Quinnipiac | 77.4% | 6.56 |
| Calvin Vachon | USHL | 89.6% | 84.4% | Alaska Fairbanks | 89.7% | 3.11 |
| Jack Stark | USHL | 90.0% | 84.4% | Yale | 91.9% | 2.22 |
| Cameron Whitehead | USHL | 90.4% | 84.7% | Northeastern | 91.7% | 2.62 |
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% | 87.1% | Marian | D3 | 88.3% | 3.85 |
| Jarret Bovarnick | EHL | 88.3% | 87.8% | Suffolk | D3 | 87.2% | 4.52 |
| Andrew Doran | NA3HL | 93.4% | 87.1% | Utica | D3 | 100.0% | — |
| Ryan Kenny | USPHL-Premier | 93.5% | 89.3% | Stevenson | D3 | 89.6% | 2.95 |
| Russ Decoste | USPHL-Premier | 93.1% | 87.0% | Westfield State | D3 | 93.3% | 2.38 |
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.