icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | NA3HL | 34 | 25 | 5 | 91.0% | 2.37 | 5 | 0.9400 | 76.6% |
| 2020-21 | — | NA3HL | 18 | 15 | 2 | 94.3% | 1.53 | 3 | 0.9400 | 88.6% |
| 2020-21 | — | NAHL | — | — | — | — | — | — | 0.9843 | — |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan | D1 | 2 | 0 | 0 | — | — | 0 |
| 2024-25 | Michigan | D1 | — | — | — | — | — | — |
| 2022-23 | Concordia | D3 | 10 | 0 | 3 | 81.0% | 9.00 | — |
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 |
|---|---|---|---|---|---|---|
| Gavin Moffatt | USHL | 89.3% | 76.3% | Western Michigan | — | — |
| Alexander Tracy | USHL | 89.6% | 77.2% | Minnesota | 87.9% | 2.24 |
| Lucas Massie | USHL | 87.9% | 75.1% | Union | 80.5% | 5.73 |
| Raythan Robbins | USHL | 88.6% | 76.6% | Bemidji State | 80.0% | 5.38 |
| Ryan Manzella | USHL | 90.4% | 76.7% | Michigan Tech | 89.5% | 3.17 |
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 |
|---|---|---|---|---|---|---|---|
| Nolan Hildebrand | AJHL | 87.4% | 77.5% | Babson | D3 | 87.8% | 3.82 |
| Bodee Weiss | BCHL | 87.9% | 76.6% | Aurora | D3 | 87.9% | 2.93 |
| Nolan Hildebrand | BCHL | 89.3% | 77.6% | Babson | D3 | 87.8% | 3.82 |
| Hayden Williamson | OJHL | 85.8% | 76.4% | Arcadia | D3 | 92.0% | 3.36 |
| Nicholas Von Kaufmann | OJHL | 88.9% | 79.9% | Marian | D3 | 88.6% | 3.25 |
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.