icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | AJHL | 44 | 28 | 13 | 91.6% | 2.50 | 3 | 0.9700 | 83.5% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Marian | D3 | 23 | 9 | 12 | 90.3% | 3.11 | — |
| 2021-22 | Marian | D3 | 25 | 9 | 13 | 90.8% | 3.24 | — |
| 2020-21 | Marian | D3 | 17 | 11 | 4 | 92.5% | 2.31 | 1 |
| 2019-20 | Marian | D3 | 3 | 2 | 0 | 93.2% | 1.77 | 1 |
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 |
|---|---|---|---|---|---|---|
| Chad Veltri | USHL | 90.2% | 83.9% | Niagara | 93.1% | 2.10 |
| Jan Spunar | USHL | 90.7% | 84.1% | North Dakota | 91.9% | 1.91 |
| Alexander Tracy | USHL | 89.6% | 83.0% | Minnesota | 87.9% | 2.24 |
| Yan Shostak | USHL | 91.1% | 84.5% | St. Cloud State | 89.7% | 3.08 |
| Ryan Keyes | NCDC | 92.6% | 83.2% | Merrimack | 92.0% | 2.22 |
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 |
|---|---|---|---|---|---|---|---|
| Josh Koziol | NA3HL | 93.3% | 83.8% | Augsburg | D3 | 71.4% | 5.76 |
| Jeffrey Reda | USPHL-Premier | 90.6% | 83.7% | Franklin Pierce | D2 | 85.9% | 5.85 |
| Owen Swanbon | USPHL-Premier | 90.4% | 83.4% | Framingham State | D3 | 83.3% | 8.53 |
| Liam Gross | USPHL-Premier | 90.2% | 83.4% | Buffalo State | D3 | 85.7% | 5.75 |
| Gabe Rosek | NOJHL | 91.3% | 83.7% | Concordia | D3 | 90.2% | 4.56 |
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.