icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Edmonton Oilers
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Sioux Falls Stampede | USHL | 4 | 2 | 2 | 88.5% | 3.06 | 0 | 0.9987 | 88.4% |
| 2025-26 | Cedar Rapids RoughRiders | USHL | 40 | 24 | 11 | 88.2% | 2.92 | 0 | 0.9987 | 89.1% |
| 2024-25 | — | NAHL | 30 | 21 | 6 | 94.8% | 1.24 | 9 | 0.9843 | 97.0% |
| 2024-25 | U.S. National U17 Team | NTDP-U18 | 1 | 0 | 1 | 77.8% | 8.00 | 0 | 0.9200 | 71.2% |
| 2024-25 | USNTDP Juniors | USHL | 1 | 0 | 1 | 77.8% | 8.00 | 0 | 0.9987 | 81.4% |
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 |
|---|---|---|---|---|---|---|
| Kevin Reidler | USHL | 90.2% | 87.9% | Nebraska Omaha | 92.0% | 2.74 |
| Freddie Halyk | AJHL | 91.0% | 87.5% | Denver | 88.3% | 2.91 |
| Johnny Hicks | WHL | 90.9% | 88.8% | Denver | 95.5% | 1.25 |
| Roan Clarke | BCHL | 90.8% | 89.9% | Dartmouth | 86.0% | 3.93 |
| Grant Riley | BCHL | 90.7% | 89.8% | Northeastern | 82.4% | 3.06 |
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 |
|---|---|---|---|---|---|---|---|
| Michael Paterson-Jones | USPHL-Premier | 92.0% | 88.9% | Wilkes | D3 | 89.5% | 3.08 |
| Connor Carbo | EHL | 89.3% | 89.2% | Wentworth | D3 | 92.3% | 3.00 |
| Ryan Nolan | NAHL | 88.9% | 90.6% | St. Olaf | D3 | 93.5% | 2.31 |
| Marko Belak | MJHL | 90.3% | 91.0% | Gustavus Adolphus | D3 | 87.8% | 3.08 |
| Ryan Kenny | USPHL-Premier | 93.5% | 89.9% | Stevenson | D3 | 89.6% | 2.95 |
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.