| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Benilde-St. Margaret's | USHS-MN | 26 | 4 | 17 | 21 | 0.808 | 0.1023 | 0.1023 | 0.1962 | 0.1962 |
| 2023-24 | Benilde-St. Margaret's | USHS-MN | 27 | 7 | 20 | 27 | 1.000 | 0.1266 | 0.1266 | 0.2429 | 0.2429 |
| 2024-25 | Benilde-St. Margaret's | USHS-MN | 25 | 10 | 29 | 39 | 1.560 | 0.1975 | 0.1975 | — | — |
| 2025-26 | Cedar Rapids RoughRiders | USHL | 55 | 1 | 17 | 18 | 0.327 | 0.1931 | 0.1966 | 0.9830 | 1.0007 |
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.