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 | 34 | 14 | 16 | 90.0% | 3.01 | 1 | 0.9990 | 87.5% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | RIT | D1 | 5 | 3 | 2 | 90.4% | 2.82 | 0 |
| 2021-22 | RIT | D1 | 19 | 10 | 6 | 88.8% | 3.47 | — |
| 2020-21 | RIT | D1 | 2 | 1 | 1 | 91.0% | 3.01 | 0 |
| 2019-20 | RIT | D1 | 2 | 1 | 0 | 93.3% | 1.69 | 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 |
|---|---|---|---|---|---|---|
| Bryant Marks | NAHL | 89.7% | 87.6% | Alaska Anchorage | 94.1% | 1.33 |
| Francis Boisvert | CCHL | 92.0% | 86.9% | St. Lawrence | 89.7% | 3.50 |
| Ryan Manzella | NAHL | 90.4% | 88.3% | Michigan Tech | 90.6% | 2.48 |
| Sam Hillebrandt | OHL | 90.3% | 86.3% | Ohio State | 87.0% | 3.76 |
| Melvin Strahl | USHL | 90.3% | 86.4% | Michigan State | 92.2% | 2.27 |
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 |
|---|---|---|---|---|---|---|---|
| Ford DeLoss | USPHL-Premier | 92.0% | 87.3% | Stevenson | D3 | 50.0% | 3.85 |
| Cal Wilcox | NCDC | 89.6% | 87.9% | Suffolk | D3 | 89.1% | 4.18 |
| Nick Anderson | USPHL-Premier | 92.6% | 87.8% | Nichols | D3 | 87.4% | 4.17 |
| Carson Ironside | AJHL | 87.8% | 86.2% | Albertus Magnus | D3 | 89.3% | 2.76 |
| Jackson Fellner | SJHL | 89.9% | 86.4% | Alvernia | D3 | 92.4% | 2.68 |
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.