| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | SuperElit | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | — | SuperElit | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | — | SuperElit | 46 | 2 | 21 | 23 | 0.500 | 0.1959 | 0.2003 | 0.6141 | 0.6280 |
| 2022-23 | — | USHL | 60 | 5 | 17 | 22 | 0.367 | 0.2254 | 0.2208 | 1.0804 | 1.0585 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Western Michigan | D1 | NCHC | JR | 37 | 2 | 12 | 14 | 0.378 |
| 2024-25 | Ohio State | D1 | BigTen | — | 27 | 0 | 8 | 8 | 0.296 |
| 2023-24 | Ohio State | D1 | BigTen | — | 38 | 2 | 19 | 21 | 0.553 |
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.