| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | USHL | NTDP-U18 | 62 | 18 | 25 | 43 | 0.694 | 0.5378 | 0.5646 | 2.5813 | 2.7097 |
| 2019-20 | USHL | NTDP-U18 | 44 | 18 | 23 | 41 | 0.932 | 0.7225 | 0.7225 | 3.4681 | 3.4681 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Michigan | D1 | BigTen | SO | 37 | 20 | 23 | 43 | 1.162 |
| 2020-21 | Michigan | D1 | BigTen | FR | 24 | 10 | 14 | 24 | 1.000 |
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.