| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | — | SuperElit | 41 | 9 | 15 | 24 | 0.585 | 0.2294 | 0.2365 | 0.7190 | 0.7414 |
| 2024-25 | — | SuperElit | 43 | 28 | 39 | 67 | 1.558 | 0.6105 | 0.5988 | 1.9138 | 1.8770 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colorado College | D1 | NCHC | — | 31 | 5 | 10 | 15 | 0.484 |
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.