icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Anchorage Wolverines | NAHL | 4 | 3 | 1 | 90.0% | 3.47 | 0 | 0.9843 | 87.9% |
| 2025-26 | — | BCHL | 13 | 4 | 7 | 87.5% | 4.33 | 0 | 0.9990 | 88.5% |
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 |
|---|---|---|---|---|---|---|
| Callum Tung | BCHL | 91.7% | 88.5% | UConn | 93.3% | 2.01 |
| Tyler Krivtsov | NAHL | 90.8% | 87.7% | Alaska Anchorage | 89.2% | 3.12 |
| Lassi Lehti | NAHL | 92.0% | 88.7% | Alaska Fairbanks | 83.3% | 5.56 |
| Ethan David | BCHL | 90.9% | 88.0% | RIT | 90.9% | 2.68 |
| Max Lacroix | NAHL | 91.4% | 88.4% | Boston University | 87.2% | 3.59 |
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 |
|---|---|---|---|---|---|---|---|
| Riley Mastowski | EHL | 89.9% | 88.0% | Franklin Pierce | D2 | 89.4% | 3.80 |
| Blake Hazelton | USPHL-Premier | 93.8% | 88.0% | Concordia | D3 | 90.3% | 3.97 |
| Mason Meyer | USPHL-Premier | 92.8% | 87.3% | Rivier | D3 | 91.4% | 2.07 |
| Korbinian Lutz | EHL | 91.0% | 88.0% | Nichols | D3 | 88.8% | 4.09 |
| Tyler Laureault | CCHL | 90.6% | 87.6% | St. Olaf | D3 | 88.7% | 3.36 |
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.