| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Drummondville Voltigeurs | QMJHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Drummondville Voltigeurs | QMJHL | 60 | 3 | 11 | 14 | 0.233 | 0.1146 | 0.1239 | 0.6230 | 0.6735 |
| 2024-25 | Drummondville Voltigeurs | QMJHL | 58 | 11 | 21 | 32 | 0.552 | 0.2711 | 0.2797 | 1.4732 | 1.5201 |
| 2025-26 | Drummondville Voltigeurs | QMJHL | 64 | 26 | 29 | 55 | 0.859 | 0.4222 | 0.4157 | 2.2949 | 2.2595 |
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.