| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Eveleth-Gilbert | USHS-MN | 11 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Mahtomedi | USHS-MN | 19 | 0 | 4 | 4 | 0.210 | 0.0266 | 0.0266 | 0.0511 | 0.0511 |
| 2022-23 | Mahtomedi | USHS-MN | 31 | 2 | 17 | 19 | 0.613 | 0.0776 | 0.0776 | 0.1488 | 0.1488 |
| 2023-24 | Mahtomedi | USHS-MN | 29 | 4 | 9 | 13 | 0.448 | 0.0568 | 0.0568 | 0.1088 | 0.1088 |
| 2024-25 | Hibbing/Chisholm | USHS-MN | 28 | 20 | 34 | 54 | 1.929 | 0.2442 | 0.2442 | 0.4683 | 0.4683 |
| 2025-26 | Hibbing/Chisholm | USHS-MN | 29 | 29 | 34 | 63 | 2.172 | 0.2750 | 0.2750 | 0.5275 | 0.5275 |
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.