| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | KooKoo | Liiga | 44 | 11 | 15 | 26 | 0.591 | 1.4772 | 1.4772 | 5.0794 | 5.0794 |
| 2022-23 | Kärpät | Liiga | 36 | 5 | 5 | 10 | 0.278 | 0.6945 | 0.7144 | 2.3880 | 2.4564 |
| 2023-24 | Kärpät | Liiga | 46 | 4 | 9 | 13 | 0.283 | 0.7065 | 0.7044 | 2.4293 | 2.4220 |
| 2024-25 | Ilves | Liiga | 35 | 1 | 2 | 3 | 0.086 | 0.2142 | 0.2061 | 0.7367 | 0.7088 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Providence | D1 | HockeyEast | JR | 42 | 17 | 13 | 30 | 0.714 |
| 2017-18 | Providence | D1 | HockeyEast | SO | 40 | 16 | 7 | 23 | 0.575 |
| 2016-17 | Providence | D1 | HockeyEast | FR | 30 | 3 | 6 | 9 | 0.300 |
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.