icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | BCHL | 45 | 30 | 13 | 92.3% | 2.19 | 3 | 0.9990 | 80.1% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnesota | D1 | 20 | 12 | 8 | 90.0% | 2.69 | — |
| 2020-21 | Minnesota | D1 | 29 | 22 | 7 | 93.4% | 1.79 | 5 |
| 2019-20 | Minnesota | D1 | 25 | 9 | 9 | 91.9% | 2.55 | 0 |
| 2017-18 | Michigan | D1 | 11 | 4 | 4 | 88.9% | 3.51 | 0 |
| 2016-17 | Michigan | D1 | 11 | 1 | 7 | 91.1% | 3.34 | 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 |
| Mitchell Day | NAHL | 91.6% | 81.3% | Niagara | 88.3% | 4.06 |
| Teagan Kendrick | BCHL | 91.5% | 80.5% | Sacred Heart | 92.0% | 2.42 |
| Lukas Renaud | AJHL | 92.4% | 77.8% | Long Island Univ. | 89.7% | 2.57 |
| 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 |
|---|---|---|---|---|---|---|---|
| Brock Moroz | MJHL | 89.4% | 80.0% | Concordia | D3 | 55.6% | 15.84 |
| William McEvoy | CCHL | 91.2% | 80.0% | Connecticut College | D3 | 90.2% | 3.12 |
| Grant Linville | NCDC | 88.9% | 79.2% | SUNY Morrisville | D3 | 88.3% | 3.95 |
| Pierce Diamond | SJHL | 91.5% | 80.1% | Albertus Magnus | D3 | 89.4% | 3.82 |
| Matt Hennessey | AJHL | 90.9% | 79.8% | Anna Maria | D3 | 93.2% | 2.59 |
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.