icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | EHL | 20 | 9 | 8 | 92.3% | 3.09 | 1 | 0.9400 | 83.3% |
| 2022-23 | — | NCDC | 1 | 1 | 0 | 93.1% | 2.00 | 0 | 0.9400 | 86.4% |
| 2021-22 | — | MHL-RU | 24 | 14 | 5 | 91.9% | 2.20 | 0 | 0.9600 | 87.2% |
| 2020-21 | — | MHL-RU | 2 | 0 | 0 | 100.0% | — | 0 | 0.9600 | 96.0% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Keene State | D3 | 2 | 2 | 0 | 95.9% | 1.48 | 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 |
|---|---|---|---|---|---|---|
| Lukas Renaud | AJHL | 92.4% | 83.4% | Long Island Univ. | 89.7% | 2.57 |
| Daniel Hauser | WHL | 91.3% | 83.7% | Wisconsin | 90.0% | 2.49 |
| Jacob Zacharewicz | NAHL | 89.2% | 83.4% | Brown | 86.8% | 4.19 |
| Thomas Heaney | NAHL | 90.0% | 84.2% | UConn | 86.7% | 4.39 |
| Reid Dyck | WHL | 89.0% | 81.5% | Colgate | 89.7% | 3.17 |
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 |
|---|---|---|---|---|---|---|---|
| Marcus Cumberworth | AJHL | 88.7% | 83.2% | Buffalo State | D3 | 90.8% | 3.33 |
| Grant Linville | NCDC | 88.9% | 83.7% | SUNY Morrisville | D3 | 88.3% | 3.95 |
| Nic Tallarico | NOJHL | 92.1% | 83.6% | Adrian | D3 | 90.1% | 2.46 |
| Brian Tallieu | USPHL-Premier | 91.3% | 82.8% | Lawrence | D3 | 88.6% | 4.50 |
| Blake Bjella | USPHL-Premier | 91.5% | 83.1% | Worcester State | D3 | 87.0% | 3.54 |
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.