| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | SM-Liiga-Jr | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | SM-Liiga-Jr | 39 | 3 | 10 | 13 | 0.333 | 0.1806 | 0.2059 | 0.5040 | 0.5746 |
| 2023-24 | — | SM-Liiga-Jr | 37 | 20 | 27 | 47 | 1.270 | 0.6885 | 0.7481 | 1.9211 | 2.0875 |
| 2024-25 | Dubuque Fighting Saints | USHL | 49 | 16 | 23 | 39 | 0.796 | 0.4695 | 0.4724 | 2.3904 | 2.4049 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC | FR | 28 | 6 | 13 | 19 | 0.679 |
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.