| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | USHL | 6 | 1 | 0 | 1 | 0.167 | 0.1025 | 0.1103 | 0.4911 | 0.5287 |
| 2019-20 | — | USHL | 45 | 24 | 35 | 59 | 1.311 | 0.8059 | 0.8059 | 3.8628 | 3.8628 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Michigan | D1 | BigTen | SO | 38 | 21 | 21 | 42 | 1.105 |
| 2020-21 | Michigan | D1 | BigTen | FR | 24 | 10 | 11 | 21 | 0.875 |
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.