icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | BCHL | 10 | 3 | 5 | 90.6% | 3.51 | 0 | 0.9990 | 88.0% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Augustana | D1 | 15 | 6 | 6 | 92.2% | 2.71 | 2 |
| 2022-23 | Bowling Green | D1 | 5 | 3 | 1 | 89.1% | 3.44 | 0 |
| 2021-22 | Bowling Green | D1 | 12 | 6 | 4 | 88.1% | 3.23 | 0 |
| 2020-21 | Bowling Green | D1 | 10 | 7 | 2 | 90.8% | 1.98 | 1 |
| 2019-20 | Bowling Green | D1 | 5 | 2 | 2 | 90.5% | 2.20 | 0 |
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 |
|---|---|---|---|---|---|---|
| Matt Radomsky | MJHL | 92.9% | 87.8% | Holy Cross | 90.3% | 2.90 |
| Evan Fear | USHL | 90.8% | 85.7% | Quinnipiac | 77.4% | 6.56 |
| Ryan Bischel | USHL | 90.5% | 85.5% | Notre Dame | 91.5% | 2.52 |
| Matej Marinov | USHL | 91.7% | 85.9% | Quinnipiac | 91.3% | 1.85 |
| Aidan Porter | BCHL | 90.8% | 87.4% | Princeton | 86.2% | 3.99 |
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 |
|---|---|---|---|---|---|---|---|
| Jarret Bovarnick | EHL | 88.3% | 87.8% | Suffolk | D3 | 87.2% | 4.52 |
| Tyler Fromolz | NA3HL | 92.0% | 87.1% | Marian | D3 | 88.3% | 3.85 |
| Ryan Kenny | USPHL-Premier | 93.5% | 89.3% | Stevenson | D3 | 89.6% | 2.95 |
| Andrew Doran | NA3HL | 93.4% | 87.1% | Utica | D3 | 100.0% | — |
| 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.