| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Djurgårdens IF U20 | SuperElit | 24 | 3 | 8 | 11 | 0.458 | 0.1796 | 0.1873 | 0.5629 | 0.5870 |
| 2022-23 | Cedar Rapids RoughRiders | USHL | 53 | 0 | 14 | 14 | 0.264 | 0.1624 | 0.1624 | 0.7784 | 0.7783 |
| 2023-24 | Cedar Rapids RoughRiders | USHL | 59 | 11 | 26 | 37 | 0.627 | 0.3855 | 0.3663 | 1.8476 | 1.7556 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arizona State | D1 | NCHC | SO | 36 | 2 | 9 | 11 | 0.306 |
| 2024-25 | Arizona State | D1 | NCHC | — | 34 | 0 | 11 | 11 | 0.324 |
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.