icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | USHL | 52 | 33 | 12 | 91.5% | 2.44 | 7 | 0.9983 | 85.3% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Western Michigan | D1 | 39 | 26 | 12 | 91.2% | 2.55 | — |
| 2020-21 | Western Michigan | D1 | 4 | 2 | 1 | 88.9% | 2.84 | 0 |
| 2019-20 | Western Michigan | D1 | 34 | 18 | 12 | 91.0% | 2.65 | 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 |
|---|---|---|---|---|---|---|
| Max Hildebrand | WHL | 91.8% | 85.6% | Bemidji State | 89.5% | 2.71 |
| Brendan Holahan | NAHL | 89.7% | 85.0% | Union | 85.7% | 4.48 |
| Jack Williams | USHL | 90.8% | 84.5% | Notre Dame | 88.9% | 2.90 |
| Ben Bonisteel | OJHL | 92.6% | 84.6% | Canisius | 89.3% | 3.10 |
| Adam Manji | BCHL | 90.4% | 86.0% | American International | 92.1% | 2.70 |
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 |
|---|---|---|---|---|---|---|---|
| Freddy Soderberg | USPHL-Premier | 93.1% | 86.2% | Fitchburg State | D3 | 93.0% | 2.48 |
| Dylan Kruss | NCDC | 88.5% | 84.7% | Lake Forest | D3 | 91.8% | 2.84 |
| Michael Cammasso | USPHL-Premier | 92.4% | 85.1% | Johnson & Wales | D3 | 82.2% | 8.99 |
| Kevin Lake | NA3HL | 95.1% | 85.4% | Hamline | D3 | 91.7% | 2.54 |
| Diego D'Alessandro | CCHL | 89.2% | 84.9% | King's | D3 | 86.5% | 4.68 |
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.