| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Djurgårdens IF U20 | SHL-J20 | 43 | 1 | 10 | 11 | 0.256 | 0.1413 | 0.1424 | 0.3414 | 0.3440 |
| 2023-24 | Djurgårdens IF U20 | SuperElit | 33 | 8 | 16 | 24 | 0.727 | 0.2850 | 0.2733 | 0.8933 | 0.8566 |
| 2024-25 | Lone Star Brahmas | NAHL | 45 | 8 | 21 | 29 | 0.644 | 0.2553 | 0.2442 | 0.6766 | 0.6471 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Lowell | D1 | HockeyEast | FR | 6 | 0 | 0 | 0 | 0.000 |
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.