| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Växjö Lakers HC U20 | SuperElit | 10 | 0 | 1 | 1 | 0.100 | 0.0395 | 0.0421 | 0.1357 | 0.1445 |
| 2015-16 | Växjö Lakers HC U20 | SHL-J20 | 13 | 1 | 4 | 5 | 0.385 | 0.2124 | 0.2158 | 0.5123 | 0.5205 |
| 2016-17 | Växjö Lakers HC U20 | SHL-J20 | 28 | 4 | 4 | 8 | 0.286 | 0.1578 | 0.1520 | 0.3806 | 0.3665 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Utica | D1 | UCHC | JR | 29 | 15 | 16 | 31 | 1.069 |
| 2019-20 | Utica | D3 | UCHC | — | 29 | 15 | 16 | 31 | 1.069 |
| 2018-19 | Curry | D1 | CNE | SO | 22 | 7 | 15 | 22 | 1.000 |
| 2018-19 | Curry | D3 | CNE | — | 22 | 7 | 15 | 22 | 1.000 |
| 2017-18 | Curry | D3 | CNE | — | 24 | 6 | 9 | 15 | 0.625 |
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.