| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Academy of Holy Angels | USHS-MN | 26 | 0 | 5 | 5 | 0.192 | 0.0243 | 0.0243 | 0.0467 | 0.0467 |
| 2020-21 | Academy of Holy Angels | USHS-MN | 19 | 3 | 10 | 13 | 0.684 | 0.0866 | 0.0866 | 0.1662 | 0.1662 |
| 2021-22 | Academy of Holy Angels | USHS-MN | 26 | 2 | 17 | 19 | 0.731 | 0.0925 | 0.0925 | 0.1775 | 0.1775 |
| 2022-23 | Philadelphia Rebels | NAHL | 47 | 0 | 5 | 5 | 0.106 | 0.0391 | 0.0423 | — | — |
| 2023-24 | Kenai River Brown Bears | NAHL | 50 | 0 | 9 | 9 | 0.180 | 0.0661 | 0.0684 | 0.1900 | 0.1966 |
| 2024-25 | Camrose Kodiaks | AJHL | 28 | 1 | 5 | 6 | 0.214 | 0.0719 | 0.0690 | 0.1983 | 0.1904 |
| 2025-26 | Minnesota Mallards | NAHL | 13 | 0 | 1 | 1 | 0.077 | 0.0283 | 0.0264 | 0.0812 | 0.0758 |
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.