| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | USHL | 37 | 14 | 12 | 88.7% | 3.48 | 1 | 0.9980 | 88.5% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Lawrence | D1 | 10 | 1 | 5 | 89.4% | 3.43 | 0 |
| 2023-24 | St. Cloud State | D1 | 25 | 12 | 10 | 89.6% | 2.75 | 3 |
| 2022-23 | St. Cloud State | D1 | 19 | 11 | 5 | 91.1% | 2.30 | 3 |
| 2021-22 | Colorado College | D1 | 24 | 6 | 15 | 88.8% | 3.23 | 1 |
| 2020-21 | Colorado College | D1 | 17 | 4 | 11 | 89.5% | 3.18 | 0 |
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.