icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NCDC | 42 | 27 | 9 | 94.0% | 2.23 | 5 | 0.9400 | 84.0% |
| 2021-22 | — | NCDC | 26 | 13 | 10 | 92.0% | 2.81 | 2 | 0.9400 | 84.9% |
| 2021-22 | — | USHL | 3 | 0 | 3 | 77.8% | 8.67 | 0 | 0.9983 | 74.1% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | 13 | 5 | 7 | 90.3% | 3.44 | 0 |
| 2024-25 | St. Lawrence | D1 | — | — | — | — | — | — |
| 2023-24 | St. Lawrence | 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 |
|---|---|---|---|---|---|---|
| Daniel Hauser | WHL | 91.3% | 83.7% | Wisconsin | 90.0% | 2.49 |
| Thomas Heaney | NAHL | 90.0% | 84.2% | UConn | 86.7% | 4.39 |
| Lukas Renaud | AJHL | 92.4% | 83.4% | Long Island Univ. | 89.7% | 2.57 |
| Mitchell Day | NAHL | 91.6% | 85.5% | Niagara | 88.3% | 4.06 |
| Cullen DeYoung | NAHL | 91.0% | 85.0% | Sacred Heart | 94.3% | 1.73 |
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 |
|---|---|---|---|---|---|---|---|
| Nic Tallarico | NOJHL | 92.1% | 83.6% | Adrian | D3 | 90.1% | 2.46 |
| Pierce Diamond | SJHL | 91.5% | 84.2% | Albertus Magnus | D3 | 89.4% | 3.82 |
| Josh Nadler | AJHL | 89.5% | 84.2% | Hamilton | D3 | 68.8% | 12.03 |
| Grant Linville | NCDC | 88.9% | 83.7% | SUNY Morrisville | D3 | 88.3% | 3.95 |
| Marcus Cumberworth | AJHL | 88.7% | 83.2% | Buffalo State | D3 | 90.8% | 3.33 |
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.