| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | — | NAHL | 45 | 37 | 6 | 93.7% | 1.53 | 8 | 0.9843 | 87.7% |
| 2023-24 | — | MJHL | 36 | 25 | 8 | 93.1% | 2.10 | 7 | 0.9700 | 90.2% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Niagara | D1 | 16 | 4 | 9 | 89.0% | 3.20 | 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 |
|---|---|---|---|---|---|---|
| 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% | — |
| Carter McPhail | NAHL | 93.1% | 87.8% | Ferris State | 88.6% | 3.74 |
| Brandon Perrone | NAHL | 91.2% | 85.4% | Alaska Anchorage | 87.2% | 3.66 |
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 |
|---|---|---|---|---|---|---|---|
| Lochlan Lauer | EHL | 91.1% | 87.6% | Lebanon Valley | D3 | 93.3% | 2.24 |
| Dylan Gorman | EHL | 90.7% | 87.2% | Manhattanville | D3 | — | — |
| Selby Warren | NAHL | 90.9% | 87.8% | Salve Regina | D3 | 92.9% | 2.18 |
| Damon Beaver | NAHL | 91.4% | 87.6% | Hobart | D3 | 95.5% | 1.04 |
| Ben O'Keefe | EHL | 91.4% | 88.0% | Framingham State | D3 | 89.0% | 4.21 |
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.