icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NAHL | 1 | 0 | 1 | 91.7% | 2.03 | 0 | 0.9843 | 97.0% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cornell | D1 | 33 | 20 | 11 | 92.8% | 1.93 | 7 |
| 2024-25 | Cornell | D1 | 35 | 25 | 5 | 94.3% | 1.35 | 10 |
| 2023-24 | Cornell | D1 | 29 | 20 | 7 | 92.7% | 1.81 | 4 |
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 |
|---|---|---|---|---|---|---|
| Lauren Mooney | OWHL-U22 | 92.9% | 90.1% | Bemidji State | 80.6% | 4.35 |
| Catherine Hodgins | OWHL-U22 | 92.6% | 89.8% | Lindenwood | 90.4% | 3.35 |
| Bella Gould | 19U-AAA-W | 92.0% | 89.2% | Syracuse | — | — |
| Madison Bowtell | CSSHL-U18W | 93.2% | 87.6% | Lindenwood | 86.5% | 4.96 |
| Ariella Merlino | OWHL-U22 | 94.3% | 89.9% | Syracuse | 100.0% | — |
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 |
|---|---|---|---|---|---|---|---|
| Celia Dahl | USHS-MN-W | 93.0% | 93.8% | Endicott | D3 | 96.1% | 0.88 |
| Maggie Jones | U19-AAA-W | 93.8% | 93.8% | SUNY Morrisville | D3 | 92.9% | 2.55 |
| Olivia Cimorelli | 19U-AAA-W | 95.7% | 93.8% | Manhattanville | D3 | 91.5% | 3.30 |
| Abby Huselid | USHS-MN-W | 91.8% | 92.6% | Concordia | D3 | 90.8% | 3.10 |
| Maya Marston | USHS-MN-W | 91.0% | 91.8% | Gustavus Adolphus | D3 | 100.0% | — |
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.