| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | USHL | 8 | 0 | 1 | 1 | 0.125 | 0.0768 | 0.0839 | 0.3683 | 0.4025 |
| 2020-21 | — | USHL | 37 | 3 | 4 | 7 | 0.189 | 0.1163 | 0.1163 | 0.5574 | 0.5574 |
| 2021-22 | — | BCHL | 53 | 23 | 27 | 50 | 0.943 | 0.3514 | 0.3379 | 1.3746 | 1.3218 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan | D1 | BigTen | SR | 40 | 5 | 13 | 18 | 0.450 |
| 2024-25 | Michigan | D1 | BigTen | SR | 33 | 7 | 2 | 9 | 0.273 |
| 2023-24 | Michigan | D1 | BigTen | JR | 37 | 4 | 8 | 12 | 0.324 |
| 2022-23 | Michigan | D1 | BigTen | — | 23 | 1 | 0 | 1 | 0.043 |
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.