| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | SuperElit | 25 | 8 | 4 | 12 | 0.480 | 0.1894 | 0.2013 | 0.6613 | 0.7027 |
| 2024-25 | — | SuperElit | 39 | 24 | 33 | 57 | 1.462 | 0.5767 | 0.5838 | 2.0135 | 2.0382 |
| 2025-26 | Muskegon Lumberjacks | USHL | 48 | 24 | 25 | 49 | 1.021 | 0.6022 | 0.5828 | 3.0631 | 2.9643 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Boston University | D1 | HockeyEast | FR | 0 | 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.