| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | U.S. National U17 Team | NTDP-U18 | 40 | 7 | 13 | 20 | 0.500 | 0.3877 | 0.3877 | 1.8610 | 1.8610 |
| 2020-21 | — | NTDP-U18 | 34 | 5 | 12 | 17 | 0.500 | 0.3877 | 0.3877 | 1.8610 | 1.8610 |
| 2022-23 | Waterloo Black Hawks | USHL | 35 | 7 | 20 | 27 | 0.771 | 0.4742 | 0.4539 | 2.2727 | 2.1753 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ferris State | D1 | CCHA | — | 31 | 5 | 9 | 14 | 0.452 |
| 2024-25 | Ohio State | D1 | BigTen | — | 3 | 1 | 1 | 2 | 0.667 |
| 2023-24 | Ohio State | D1 | BigTen | — | 24 | 4 | 6 | 10 | 0.417 |
| 2022-23 | Wisconsin | D1 | BigTen | — | 13 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Wisconsin | D1 | BigTen | — | 33 | 2 | 4 | 6 | 0.182 |
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.