| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | — | NAHL | 25 | 8 | 10 | 91.8% | 2.59 | 2 | 0.9843 | 85.8% |
| 2023-24 | — | NAHL | 38 | 10 | 22 | 88.0% | 3.99 | 1 | 0.9843 | 88.6% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | — | — | — | — | — | — |
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 |
|---|---|---|---|---|---|---|
| Klayton Knapp | NAHL | 92.1% | 86.5% | Minnesota Duluth | 90.7% | 2.67 |
| Croix Kochendorfer | NAHL | 92.0% | 86.6% | Robert Morris | 90.6% | 2.95 |
| Carson Dorfman | NAHL | 90.1% | 84.7% | RPI | 100.0% | — |
| Brandon Perrone | NAHL | 91.2% | 85.4% | Alaska Anchorage | 87.2% | 3.66 |
| Gergely Orosz | NAHL | 91.9% | 85.4% | Alaska Anchorage | 91.5% | 2.75 |
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 |
|---|---|---|---|---|---|---|---|
| Cooper Lukenda | NAHL | 89.7% | 85.9% | St. Olaf | D3 | 88.2% | 3.91 |
| Carson Poulin | OJHL | 92.5% | 86.0% | Lake Forest | D3 | 89.7% | 3.18 |
| Tyler Roy | EHL | 91.3% | 86.0% | Neumann | D3 | 87.2% | 3.68 |
| Conor Sullivan | NAHL | 88.2% | 85.2% | Middlebury | D3 | 92.1% | 2.46 |
| Ayden Pierce | NCDC | 91.1% | 86.7% | Misericordia | D3 | 93.2% | 2.87 |
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.