| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | SJHL | 24 | 14 | 7 | 91.5% | 2.78 | 2 | 0.9700 | 79.3% |
| 2018-19 | — | BCHL | 11 | 5 | 6 | 88.6% | 3.34 | 0 | 0.9990 | 77.2% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2019-20 | Albertus Magnus | D3 | 23 | 4 | 17 | 89.4% | 3.82 | 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 |
|---|---|---|---|---|---|---|
| Jacob Zacharewicz | NAHL | 89.2% | 79.5% | Brown | 86.8% | 4.19 |
| 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 |
| Jack LaFontaine | BCHL | 92.3% | 80.1% | Minnesota | 91.9% | 2.55 |
| Cullen DeYoung | NAHL | 91.0% | 81.0% | 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 |
|---|---|---|---|---|---|---|---|
| Graham Burke | NAHL | 86.2% | 78.7% | Hobart | D3 | 95.1% | 1.00 |
| Matt Hennessey | AJHL | 90.9% | 79.8% | Anna Maria | D3 | 93.2% | 2.59 |
| Josh Nadler | AJHL | 89.5% | 78.8% | Hamilton | D3 | 68.8% | 12.03 |
| Grant Linville | NCDC | 88.9% | 79.2% | SUNY Morrisville | D3 | 88.3% | 3.95 |
| Ben Dardis | AJHL | 90.3% | 79.6% | Buffalo State | D3 | 89.9% | 2.82 |
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.