| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | NTDP-U18 | 59 | 8 | 30 | 38 | 0.644 | 0.4788 | 0.4832 | 2.4034 | 2.4255 |
| 2018-19 | — | NTDP-U18 | 63 | 14 | 51 | 65 | 1.032 | 0.7669 | 0.7348 | 3.8497 | 3.6886 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Michigan | D1 | BigTen | SO | 24 | 4 | 16 | 20 | 0.833 |
| 2019-20 | Michigan | D1 | BigTen | FR | 30 | 5 | 11 | 16 | 0.533 |
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.