| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Chanhassen | USHS-MN | 17 | 3 | 9 | 12 | 0.706 | 0.0894 | 0.0894 | 0.1715 | 0.1715 |
| 2021-22 | Chanhassen | USHS-MN | 26 | 15 | 11 | 26 | 1.000 | 0.1266 | 0.1266 | 0.2429 | 0.2429 |
| 2022-23 | Chanhassen | USHS-MN | 26 | 16 | 29 | 45 | 1.731 | 0.2191 | 0.2191 | 0.4204 | 0.4204 |
| 2023-24 | Madison Capitols | USHL | 21 | 4 | 2 | 6 | 0.286 | 0.1685 | 0.1762 | 0.8581 | 0.8972 |
| 2024-25 | Madison Capitols | USHL | 59 | 17 | 17 | 34 | 0.576 | 0.3400 | 0.3382 | 1.7309 | 1.7215 |
| 2025-26 | Fargo Force | USHL | 53 | 19 | 21 | 40 | 0.755 | 0.4452 | 0.4213 | 2.2667 | 2.1450 |
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.