| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | NTDP-U18 | 52 | 6 | 12 | 18 | 0.346 | 0.2573 | 0.2665 | 1.2982 | 1.3444 |
| 2017-18 | — | NTDP-U18 | 64 | 17 | 16 | 33 | 0.516 | 0.3832 | 0.3774 | 1.9334 | 1.9040 |
| 2019-20 | Chicago Steel | USHL | 32 | 12 | 12 | 24 | 0.750 | 0.4424 | 0.4424 | 2.2505 | 2.2505 |
| 2020-21 | Chicago Steel | USHL | 53 | 32 | 36 | 68 | 1.283 | 0.7568 | 0.7568 | 3.8499 | 3.8499 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Michigan State | D1 | BigTen | — | 37 | 7 | 9 | 16 | 0.432 |
| 2021-22 | Michigan State | D1 | BigTen | — | 36 | 12 | 8 | 20 | 0.556 |
| 2019-20 | Colorado College | D1 | NCHC | — | 6 | 0 | 2 | 2 | 0.333 |
| 2018-19 | Colorado College | D1 | NCHC | — | 41 | 7 | 4 | 11 | 0.268 |
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.