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 | 34 | 15 | 15 | 91.0% | 2.98 | 3 | 0.9843 | 81.0% |
| 2021-22 | — | NAHL | 43 | 25 | 12 | 91.3% | 3.07 | 1 | 0.9843 | 87.5% |
| 2020-21 | — | NAHL | 9 | 5 | 1 | 88.9% | 3.22 | 0 | 0.9843 | 87.5% |
| 2018-19 | — | USHL | 2 | 0 | 1 | 82.0% | 7.00 | 0 | 0.9980 | 92.2% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Sacred Heart | D1 | 15 | 5 | 6 | 88.5% | 3.22 | 0 |
| 2023-24 | Sacred Heart | D1 | 3 | 0 | 0 | 94.3% | 1.73 | 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 |
|---|---|---|---|---|---|---|
| Thomas Heaney | NAHL | 90.0% | 80.4% | UConn | 86.7% | 4.39 |
| Teagan Kendrick | BCHL | 91.5% | 80.5% | Sacred Heart | 92.0% | 2.42 |
| Mitchell Day | NAHL | 91.6% | 81.3% | Niagara | 88.3% | 4.06 |
| Jakub Krbecek | NAHL | 92.1% | 82.2% | RIT | 89.3% | 3.90 |
| Isak Posch | NAHL | 92.6% | 82.4% | St. Cloud State | 90.1% | 2.93 |
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 |
|---|---|---|---|---|---|---|---|
| Nick Howard | USPHL-Premier | 94.7% | 81.0% | Saint Anselm | D2 | 90.6% | 2.70 |
| Tripp Clarke | USPHL-Premier | 93.7% | 80.6% | Manhattanville | D3 | 75.0% | 4.09 |
| Sami Molu | CCHL | 92.5% | 81.5% | Norwich | D3 | 94.3% | 1.62 |
| Kyle Kozma | NAHL | 89.0% | 81.5% | Trine | D3 | 91.5% | 2.17 |
| Nick Bernstein | NCDC | 90.6% | 81.0% | Chatham | D3 | 90.9% | 3.42 |
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.