icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | NAHL | 37 | 15 | 14 | 90.5% | 3.49 | 1 | 0.9843 | 89.5% |
| 2022-23 | — | NAHL | 28 | 15 | 9 | 91.4% | 2.75 | 1 | 0.9843 | 96.5% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Air Force | D1 | 1 | 0 | 0 | 72.2% | 13.30 | 0 |
| 2024-25 | Air Force | D1 | — | — | — | — | — | — |
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 |
|---|---|---|---|---|---|---|
| Zack Rose | BCHL | 90.6% | 88.0% | Bowling Green | 90.5% | 2.20 |
| Cole Moore | NAHL | 91.9% | 90.2% | Bowling Green | 91.8% | 2.87 |
| Matt Radomsky | MJHL | 92.9% | 87.8% | Holy Cross | 90.3% | 2.90 |
| Aksel Reid | NAHL | 91.1% | 90.5% | Union | 80.0% | 2.77 |
| Connor McDonough | NAHL | 90.9% | 90.6% | Ferris State | 25.0% | 26.21 |
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 |
|---|---|---|---|---|---|---|---|
| Ryan Kenny | USPHL-Premier | 93.5% | 89.3% | Stevenson | D3 | 89.6% | 2.95 |
| Jarret Bovarnick | EHL | 88.3% | 87.8% | Suffolk | D3 | 87.2% | 4.52 |
| Cameron Kuntar | NCDC | 89.3% | 89.1% | Chatham | D3 | 92.4% | 2.62 |
| Tyler Fromolz | NA3HL | 92.0% | 87.1% | Marian | D3 | 88.3% | 3.85 |
| Brody Haynes | NCDC | 92.5% | 92.3% | Elmira | D3 | 94.8% | 1.22 |
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.