| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Rosemount | USHS-MN | 27 | 28 | 23 | 51 | 1.889 | 0.5085 | 0.5085 | 0.4588 | 0.4588 |
| 2020-21 | — | USHL | 10 | 1 | 2 | 3 | 0.300 | 0.1844 | 0.1844 | 0.8839 | 0.8839 |
| 2021-22 | — | USHL | 20 | 6 | 3 | 9 | 0.450 | 0.2766 | 0.2689 | 1.3258 | 1.2891 |
| 2022-23 | Wisconsin Windigo | NAHL | 38 | 23 | 19 | 42 | 1.105 | 0.4379 | 0.4221 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lake Superior State | D1 | CCHA | JR | 27 | 2 | 4 | 6 | 0.222 |
| 2024-25 | Lake Superior State | D1 | CCHA | SR | 34 | 5 | 9 | 14 | 0.412 |
| 2023-24 | Lake Superior State | D1 | CCHA | JR | 29 | 2 | 6 | 8 | 0.276 |
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.