| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | U.S. National U17 Team | NTDP-U18 | 55 | 13 | 20 | 33 | 0.600 | 0.4772 | 0.4984 | 2.2471 | 2.3471 |
| 2015-16 | U.S. National U18 Team | NTDP-U18 | 43 | 7 | 6 | 13 | 0.302 | 0.2404 | 0.2398 | 1.1322 | 1.1294 |
| 2024-25 | Lukko | Liiga | 60 | 15 | 19 | 34 | 0.567 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Michigan State | D1 | BigTen | SR | 36 | 16 | 17 | 33 | 0.917 |
| 2018-19 | Michigan State | D1 | BigTen | JR | 36 | 18 | 19 | 37 | 1.028 |
| 2017-18 | Michigan State | D1 | BigTen | SO | 36 | 13 | 19 | 32 | 0.889 |
| 2016-17 | Michigan State | D1 | BigTen | FR | 35 | 7 | 11 | 18 | 0.514 |
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.