| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | SuperElit | 12 | 0 | 1 | 1 | 0.083 | 0.0326 | 0.0339 | 0.1023 | 0.1064 |
| 2022-23 | — | SuperElit | 48 | 23 | 17 | 40 | 0.833 | 0.3265 | 0.3271 | 1.0235 | 1.0254 |
| 2023-24 | — | SuperElit | 41 | 16 | 15 | 31 | 0.756 | 0.2962 | 0.2794 | 0.9287 | 0.8760 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Miami | D1 | NCHC | — | 36 | 6 | 12 | 18 | 0.500 |
| 2024-25 | Miami | D1 | NCHC | — | 34 | 6 | 4 | 10 | 0.294 |
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.