icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Sarnia Sting | OHL | 48 | 11 | 20 | 87.7% | 3.58 | 0 | 1.0008 | 87.5% |
| 2024-25 | U.S. National U18 Team | NTDP-U18 | 30 | 17 | 8 | 88.5% | 3.33 | 1 | 0.9200 | 79.9% |
| 2024-25 | USNTDP Juniors | USHL | 11 | 7 | 3 | 87.3% | 3.27 | 0 | 0.9983 | 90.2% |
| 2023-24 | — | NTDP-U18 | 20 | 6 | 10 | 88.1% | 3.45 | 0 | 0.9200 | 82.4% |
| 2023-24 | USNTDP Juniors | USHL | 14 | 0 | 10 | 86.4% | 4.23 | 0 | 0.9983 | 92.5% |
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 |
|---|---|---|---|---|---|---|
| Jere Huhtamaa | SM-Liiga-Jr | 90.3% | 88.3% | Merrimack | 86.4% | 3.47 |
| Owen Bartoszkiewicz | USHL | 88.9% | 88.4% | Minnesota | 88.3% | 3.72 |
| Aku Koskenvuo | SM-Liiga-Jr | 89.7% | 87.2% | Harvard | 87.5% | 3.56 |
| Josh Graziano | OJHL | 87.8% | 85.7% | Union | 84.8% | 4.40 |
| Jackson Irving | USHL | 88.8% | 87.9% | UMass | 100.0% | — |
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 |
|---|---|---|---|---|---|---|---|
| Brody Haynes | NCDC | 92.5% | 92.3% | Elmira | D3 | 94.8% | 1.22 |
| Nevin Tardif | USPHL-Premier | 90.4% | 87.8% | Worcester State | D3 | 89.8% | 3.54 |
| Cooper Rautenstrauch | NCDC | 90.6% | 92.2% | Colby | D3 | 93.4% | 2.08 |
| Cooper Rautenstrauch | NAHL | 88.9% | 92.2% | Colby | D3 | 93.4% | 2.08 |
| Zach Dosan | NA3HL | 92.1% | 86.7% | Gustavus Adolphus | D3 | 72.5% | 6.60 |
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.