icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Barrie Colts | OHL | 37 | 21 | 13 | 90.3% | 3.16 | 0 | 1.0008 | 86.3% |
| 2023-24 | Barrie Colts | OHL | 36 | 16 | 15 | 89.9% | 3.67 | 1 | 1.0008 | 89.3% |
| 2022-23 | — | OHL | 3 | 1 | 1 | 87.1% | 3.76 | 0 | 1.0008 | 89.6% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | D1 | 14 | 4 | 8 | 87.0% | 3.76 | 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 |
|---|---|---|---|---|---|---|
| Troy Kobryn | USHL | 89.5% | 85.5% | Merrimack | 89.3% | 3.30 |
| Melvin Strahl | USHL | 90.3% | 86.4% | Michigan State | 92.2% | 2.27 |
| Francis Boisvert | CCHL | 92.0% | 86.9% | St. Lawrence | 89.7% | 3.50 |
| Troy Kobryn | NCDC | 92.2% | 85.0% | Merrimack | 89.3% | 3.30 |
| Joey Lamoreaux | USHL | 89.7% | 85.6% | St. Cloud State | 89.3% | 3.25 |
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 |
|---|---|---|---|---|---|---|---|
| Nolan Mahaffey | NCDC | 87.4% | 86.2% | Lawrence | D3 | 90.5% | 3.39 |
| Ford DeLoss | USPHL-Premier | 92.0% | 87.3% | Stevenson | D3 | 50.0% | 3.85 |
| Clément Labillois | SJHL | 88.9% | 85.2% | Assumption | D2 | 93.6% | 2.08 |
| Carson Ironside | AJHL | 87.8% | 86.2% | Albertus Magnus | D3 | 89.3% | 2.76 |
| Jackson Fellner | SJHL | 89.9% | 86.4% | Alvernia | D3 | 92.4% | 2.68 |
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.