| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NAHL | 44 | 25 | 13 | 92.6% | 2.12 | 4 | 0.9843 | 86.5% |
| 2021-22 | — | USHL | 36 | 9 | 23 | 87.2% | 3.71 | 2 | 0.9983 | 83.2% |
| 2020-21 | — | SHL | — | — | — | — | — | — | 1.0100 | — |
| 2020-21 | — | SuperElit | 9 | 8 | 1 | 91.7% | 2.42 | 2 | 0.9600 | 88.0% |
| 2020-21 | — | SHL-J20 | 9 | 8 | 1 | 91.7% | 2.42 | 2 | 0.9600 | 88.0% |
| 2019-20 | — | SuperElit | 13 | 10 | 2 | 93.0% | 1.72 | 2 | 0.9600 | 89.3% |
| 2019-20 | — | SHL-J20 | 13 | 10 | 2 | 93.0% | 1.72 | 2 | 0.9600 | 89.3% |
| 2018-19 | — | SuperElit | — | — | — | — | — | — | 0.9600 | — |
| 2018-19 | — | SHL-J20 | — | — | — | — | — | — | 0.9600 | — |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Cloud State | D1 | 22 | 12 | 10 | 92.3% | 2.40 | 2 |
| 2023-24 | St. Cloud State | D1 | 14 | 5 | 6 | 90.1% | 2.93 | 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 |
|---|---|---|---|---|---|---|
| Jakub Krbecek | NAHL | 92.1% | 86.2% | RIT | 89.3% | 3.90 |
| Teagan Kendrick | BCHL | 91.5% | 85.7% | Sacred Heart | 92.0% | 2.42 |
| J.J. Cataldo | NAHL | 91.8% | 86.1% | Army | 92.2% | 2.41 |
| Max Beckford | NAHL | 94.0% | 88.0% | Bentley | 90.2% | 1.84 |
| Cullen DeYoung | NAHL | 91.0% | 85.0% | Sacred Heart | 94.3% | 1.73 |
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 |
|---|---|---|---|---|---|---|---|
| Luca Scaglione | NCDC | 91.8% | 86.8% | Western New England | D3 | 89.2% | 4.81 |
| Jed Baliotti | NCDC | 91.2% | 86.7% | Colby | D3 | 92.3% | 1.98 |
| Nick Howard | USPHL-Premier | 94.7% | 86.0% | Saint Anselm | D2 | 90.6% | 2.70 |
| Ben Skelton | EHL | 91.3% | 86.6% | Keene State | D3 | 92.0% | 2.80 |
| Sami Molu | CCHL | 92.5% | 86.9% | Norwich | D3 | 94.3% | 1.62 |
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.