| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | NTDP-U18 | 52 | 29 | 19 | 48 | 0.923 | 0.7342 | 0.7342 | 3.4572 | 3.4572 |
| 2020-21 | — | NTDP-U18 | 53 | 29 | 20 | 49 | 0.924 | 0.7353 | 0.7353 | 3.4624 | 3.4624 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Michigan | D1 | BigTen | JR | 41 | 26 | 23 | 49 | 1.195 |
| 2022-23 | Michigan | D1 | BigTen | SO | 41 | 18 | 14 | 32 | 0.780 |
| 2021-22 | Michigan | D1 | BigTen | FR | 41 | 10 | 9 | 19 | 0.463 |
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.