icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Univ. of Alberta | USports-M | 18 | 13 | 4 | 91.5% | 2.11 | 3 | 1.0100 | 97.0% |
| 2023-24 | Everett Silvertips | WHL | 46 | 30 | 9 | 90.7% | 2.57 | 1 | 1.0047 | 84.8% |
| 2022-23 | — | WHL | 49 | 19 | 24 | 89.2% | 3.66 | 1 | 1.0047 | 86.7% |
| 2021-22 | — | WHL | 45 | 17 | 23 | 90.8% | 3.49 | 3 | 1.0047 | 91.4% |
| 2020-21 | — | AJHL | 13 | 6 | 7 | 89.2% | 3.68 | 1 | 0.9700 | 86.5% |
| 2019-20 | — | AJHL | 4 | 2 | 1 | 91.4% | 1.91 | 0 | 0.9700 | 88.7% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowling Green | D1 | 11 | 5 | 3 | 89.9% | 2.35 | 1 |
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 |
|---|---|---|---|---|---|---|
| Matteo Drobac | USports-M | 90.4% | 97.3% | Miami | 91.3% | 2.69 |
| Max Beckford | NAHL | 94.0% | 88.0% | Bentley | 90.2% | 1.84 |
| Jack LaFontaine | BCHL | 92.3% | 85.8% | Minnesota | 91.9% | 2.55 |
| Isak Posch | NAHL | 92.6% | 86.5% | St. Cloud State | 90.1% | 2.93 |
| Mitchell Day | NAHL | 91.6% | 85.5% | Niagara | 88.3% | 4.06 |
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 |
|---|---|---|---|---|---|---|---|
| Brody Haynes | NCDC | 92.5% | 92.3% | Elmira | D3 | 94.8% | 1.22 |
| Artur Dzhilavyan | EHL | 92.3% | 87.4% | Keene State | D3 | 95.9% | 1.48 |
| Joey Lovullo | NAHL | 91.2% | 87.6% | Hamilton | D3 | — | — |
| Avery Sturtz | NAHL | 90.4% | 86.7% | Utica | D3 | 84.2% | 3.16 |
| Marcus Ouellet | NCDC | 92.8% | 88.1% | St. John Fisher | D3 | 87.9% | 1.86 |
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.