| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | KooKoo U20 | SM-Liiga-Jr | 17 | 1 | 3 | 4 | 0.235 | 0.1275 | 0.1384 | 0.3495 | 0.3795 |
| 2022-23 | KooKoo U20 | SM-Liiga-Jr | 43 | 11 | 13 | 24 | 0.558 | 0.3025 | 0.3154 | 0.8289 | 0.8642 |
| 2023-24 | KooKoo U20 | SM-Liiga-Jr | 47 | 5 | 9 | 14 | 0.298 | 0.1615 | 0.1597 | 0.4424 | 0.4376 |
| 2024-25 | Johnstown Tomahawks | NAHL | 57 | 24 | 19 | 43 | 0.754 | 0.2680 | 0.2553 | 0.7920 | 0.7545 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hobart | D3 | SUNYAC | — | 24 | 5 | 4 | 9 | 0.375 |
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.