| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | USHL | 42 | 23 | 16 | 88.7% | 3.31 | 2 | 0.9980 | 83.1% |
| 2020-21 | — | USHL | 16 | 12 | 2 | 89.8% | 2.89 | 1 | 0.9980 | 89.6% |
| 2019-20 | — | USHL | 20 | 3 | 15 | 87.6% | 4.59 | 0 | 0.9980 | 87.4% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nebraska Omaha | D1 | 25 | 8 | 16 | 89.5% | 3.31 | 0 |
| 2024-25 | Nebraska Omaha | D1 | 31 | 14 | 16 | 92.2% | 2.71 | 1 |
| 2023-24 | Nebraska Omaha | D1 | 34 | 19 | 12 | 91.3% | 2.69 | 2 |
| 2022-23 | Nebraska Omaha | D1 | 20 | 11 | 6 | 91.9% | 2.32 | 2 |
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 |
|---|---|---|---|---|---|---|
| Cameron Korpi | USHL | 89.2% | 83.3% | Michigan | 90.4% | 3.08 |
| Adam Gajan | USHL | 89.3% | 83.0% | Minnesota Duluth | 88.5% | 3.33 |
| Samuel Urban | USHL | 89.9% | 83.4% | Arizona State | 90.4% | 3.53 |
| Mitch Gibson | USHL | 89.0% | 83.9% | Harvard | 91.6% | 2.61 |
| Noah Grannan | USHL | 89.1% | 82.9% | Penn State | 88.5% | 3.40 |
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 |
|---|---|---|---|---|---|---|---|
| Andrew Doran | NA3HL | 93.4% | 87.1% | Utica | D3 | 100.0% | — |
| Brandon Shantz | NA3HL | 89.7% | 82.6% | Plymouth State | D3 | 92.1% | 3.00 |
| Carson Ironside | AJHL | 87.8% | 84.2% | Albertus Magnus | D3 | 89.3% | 2.76 |
| Tyler Fromolz | NA3HL | 92.0% | 87.1% | Marian | D3 | 88.3% | 3.85 |
| Jarret Bovarnick | EHL | 88.3% | 87.8% | Suffolk | D3 | 87.2% | 4.52 |
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.