icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Benilde-St. Margaret's | USHS-MN | 17 | 0 | 4 | 4 | 0.235 | 0.0298 | 0.0298 | 0.0572 | 0.0572 |
| 2021-22 | Benilde-St. Margaret's | USHS-MN | 28 | 4 | 9 | 13 | 0.464 | 0.0588 | 0.0588 | — | — |
| 2022-23 | Benilde-St. Margaret's | USHS-MN | 26 | 4 | 12 | 16 | 0.615 | 0.0779 | 0.0779 | 0.1495 | 0.1495 |
| 2023-24 | Aberdeen Wings | NAHL | 38 | 1 | 4 | 5 | 0.132 | 0.0483 | 0.0507 | — | — |
| 2024-25 | Aberdeen Wings | NAHL | 59 | 4 | 28 | 32 | 0.542 | 0.1993 | 0.1988 | 0.5725 | 0.5711 |
| 2025-26 | Aberdeen Wings | NAHL | 55 | 1 | 30 | 31 | 0.564 | 0.2071 | 0.1964 | 0.5949 | 0.5642 |
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.