| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Rosemount | USHS-MN | 21 | 3 | 4 | 7 | 0.333 | 0.0422 | 0.0422 | 0.0809 | 0.0809 |
| 2021-22 | Rosemount | USHS-MN | 27 | 7 | 14 | 21 | 0.778 | 0.0985 | 0.0985 | 0.1888 | 0.1888 |
| 2022-23 | Rosemount | USHS-MN | 27 | 10 | 34 | 44 | 1.630 | 0.2063 | 0.2063 | 0.3957 | 0.3957 |
| 2023-24 | Neepawa Titans | MJHL | 47 | 8 | 11 | 19 | 0.404 | 0.0778 | 0.0797 | 0.2555 | 0.2617 |
| 2024-25 | Neepawa Titans | MJHL | 56 | 25 | 20 | 45 | 0.804 | 0.1547 | 0.1499 | 0.5078 | 0.4922 |
| 2025-26 | — | NAHL | 51 | 20 | 27 | 47 | 0.922 | 0.3386 | 0.3186 | 0.9740 | 0.9165 |
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.