| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | AIK U20 | SuperElit | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | — | SuperElit | 33 | 2 | 3 | 5 | 0.151 | 0.0594 | 0.0594 | 0.1861 | 0.1861 |
| 2020-21 | Mora IK U20 | SuperElit | 11 | 1 | 3 | 4 | 0.364 | 0.1425 | 0.1425 | 0.4466 | 0.4466 |
| 2021-22 | New Mexico Ice Wolves | NAHL | 53 | 6 | 30 | 36 | 0.679 | 0.2691 | 0.2504 | 0.7131 | 0.6635 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | SR | 13 | 0 | 1 | 1 | 0.077 |
| 2024-25 | RIT | D1 | AHA | JR | 26 | 2 | 0 | 2 | 0.077 |
| 2023-24 | RIT | D1 | AHA | SO | 32 | 3 | 7 | 10 | 0.312 |
| 2022-23 | RIT | D1 | AHA | FR | 22 | 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.