icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
New York Rangers
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | Allsvenskan | — | — | — | — | — | — | 1.0100 | — |
| 2020-21 | — | SHL | 2 | 0 | 1 | 90.3% | 1.99 | 0 | 1.0100 | 91.2% |
| 2020-21 | — | SuperElit | 9 | 7 | 2 | 90.6% | 2.20 | 1 | 0.9600 | 87.0% |
| 2020-21 | — | SHL-J20 | 9 | 7 | 2 | 90.6% | 2.20 | 1 | 0.9600 | 87.0% |
| 2019-20 | — | SuperElit | 20 | 11 | 8 | 89.5% | 2.43 | 2 | 0.9600 | 85.9% |
| 2019-20 | — | SHL-J20 | 20 | 11 | 8 | 89.5% | 2.43 | 2 | 0.9600 | 85.9% |
| 2018-19 | — | SuperElit | — | — | — | — | — | — | 0.9600 | — |
| 2018-19 | — | SHL-J20 | — | — | — | — | — | — | 0.9600 | — |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Merrimack | D1 | 21 | 7 | 12 | 90.8% | 2.84 | 0 |
| 2022-23 | Merrimack | D1 | 21 | 10 | 9 | 91.5% | 2.32 | 5 |
| 2021-22 | Merrimack | D1 | 18 | 10 | 6 | 92.0% | 2.24 | — |
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.