| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Moorhead | USHS-MN | 14 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Moorhead | USHS-MN | 17 | 0 | 2 | 2 | 0.118 | 0.0145 | 0.0145 | 0.0286 | 0.0286 |
| 2022-23 | Moorhead | USHS-MN | 30 | 2 | 6 | 8 | 0.267 | 0.0329 | 0.0329 | 0.0648 | 0.0648 |
| 2023-24 | New Mexico Ice Wolves | NA3HL | 41 | 14 | 15 | 29 | 0.707 | 0.0782 | 0.0786 | 0.2241 | 0.2253 |
| 2024-25 | New Mexico Ice Wolves | NA3HL | 36 | 6 | 24 | 30 | 0.833 | 0.0922 | 0.0879 | 0.2640 | 0.2517 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Concordia | D3 | MIAC | — | 1 | 0 | 0 | 0 | 0.000 |
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.