| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | BCHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | — | BCHL | 57 | 20 | 26 | 46 | 0.807 | 0.3006 | 0.3442 | 1.1759 | 1.3466 |
| 2019-20 | — | BCHL | 52 | 41 | 60 | 101 | 1.942 | 0.7235 | 0.7235 | 2.8301 | 2.8301 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Michigan | D1 | BigTen | SO | 32 | 8 | 29 | 37 | 1.156 |
| 2020-21 | Michigan | D1 | BigTen | FR | 26 | 9 | 18 | 27 | 1.038 |
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.