icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | NAHL | 24 | 11 | 7 | 92.1% | 2.62 | 1 | 0.9843 | 82.2% |
| 2023-24 | Sioux City Musketeers | USHL | 8 | 4 | 0 | 84.7% | 3.97 | 0 | 0.9980 | 71.3% |
| 2022-23 | — | NAHL | 51 | 25 | 23 | 92.7% | 2.54 | 5 | 0.9843 | 88.9% |
| 2021-22 | — | USHL-Style-Czech | 32 | 20 | 9 | 93.7% | 2.11 | 5 | 0.9600 | 86.9% |
| 2020-21 | — | USHL-Style-Czech | 9 | 6 | 3 | 92.9% | 2.62 | 0 | 0.9600 | 89.2% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | 33 | 17 | 15 | 91.6% | 2.32 | 1 |
| 2024-25 | RIT | D1 | 18 | 5 | 12 | 89.3% | 3.90 | 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 |
|---|---|---|---|---|---|---|
| Isak Posch | NAHL | 92.6% | 82.4% | St. Cloud State | 90.1% | 2.93 |
| J.J. Cataldo | NAHL | 91.8% | 82.3% | Army | 92.2% | 2.41 |
| Cullen DeYoung | NAHL | 91.0% | 81.0% | Sacred Heart | 94.3% | 1.73 |
| Ethan Robertson | NAHL | 91.5% | 81.8% | Canisius | 90.4% | 3.25 |
| Andrew Takacs | NAHL | 91.8% | 82.0% | Colgate | 81.8% | 4.32 |
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 |
|---|---|---|---|---|---|---|---|
| Luca Scaglione | NCDC | 91.8% | 82.5% | Western New England | D3 | 89.2% | 4.81 |
| Chase Hale | NCDC | 91.4% | 82.3% | Albertus Magnus | D3 | 92.2% | 2.54 |
| Kael DePape | NAHL | 89.1% | 82.0% | Williams | D3 | 88.2% | 3.14 |
| Jed Baliotti | NCDC | 91.2% | 82.8% | Colby | D3 | 92.3% | 1.98 |
| Sami Molu | CCHL | 92.5% | 81.5% | Norwich | D3 | 94.3% | 1.62 |
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.