| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | — | NAHL | 21 | 8 | 11 | 89.7% | 3.17 | 0 | 0.9843 | 82.1% |
| 2023-24 | — | AJHL | 16 | 15 | 1 | 91.6% | 1.72 | 1 | 0.9700 | 86.4% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Union | D1 | 3 | 0 | 1 | 85.7% | 4.48 | 0 |
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 |
|---|---|---|---|---|---|---|
| Cooper Black | BCHL | 92.4% | 82.9% | Dartmouth | 89.9% | 3.07 |
| Owen Say | BCHL | 92.3% | 82.7% | Mercyhurst | 90.3% | 3.39 |
| Adam Manji | BCHL | 90.4% | 82.2% | American International | 92.1% | 2.70 |
| Noah Pak | OJHL | 94.5% | 81.2% | Yale | 87.2% | 3.86 |
| Justen Close | SJHL | 92.8% | 82.4% | Minnesota | 78.6% | 6.09 |
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 |
|---|---|---|---|---|---|---|---|
| Dylan Kruss | NCDC | 88.5% | 81.6% | Lake Forest | D3 | 91.8% | 2.84 |
| Dylan Grover | OJHL | 90.4% | 82.2% | St. John Fisher | D3 | 91.3% | 2.94 |
| Joseph Giacobbo | CCHL | 91.8% | 82.8% | Utica | D3 | 95.3% | 0.90 |
| Cam Prodin | USPHL-Premier | 93.6% | 81.8% | Roger Williams | D3 | 75.8% | 9.18 |
| Freddy Soderberg | USPHL-Premier | 93.1% | 82.6% | Fitchburg State | D3 | 93.0% | 2.48 |
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.