| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | — | NTDP-U18 | 57 | 7 | 17 | 24 | 0.421 | 0.3265 | 0.3421 | 1.5673 | 1.6420 |
| 2016-17 | — | NTDP-U18 | 65 | 10 | 43 | 53 | 0.815 | 0.6323 | 0.6314 | 3.0348 | 3.0303 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Michigan | D1 | BigTen | SO | 32 | 5 | 28 | 33 | 1.031 |
| 2017-18 | Michigan | D1 | BigTen | FR | 37 | 5 | 24 | 29 | 0.784 |
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.