| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Val-d'Or Foreurs | QMJHL | 65 | 9 | 14 | 23 | 0.354 | 0.1738 | 0.1950 | 0.9445 | 1.0597 |
| 2023-24 | Val-d'Or Foreurs | QMJHL | 67 | 13 | 23 | 36 | 0.537 | 0.2640 | 0.2832 | 1.4344 | 1.5386 |
| 2024-25 | Val-d'Or Foreurs | QMJHL | 62 | 24 | 48 | 72 | 1.161 | 0.5705 | 0.5839 | 3.1002 | 3.1730 |
| 2025-26 | Val-d'Or Foreurs | QMJHL | 50 | 20 | 44 | 64 | 1.280 | 0.6289 | 0.6140 | 3.4171 | 3.3359 |
| 2026-27 | Val-d'Or Foreurs | QMJHL | 6 | 2 | 7 | 9 | 1.500 | 0.7369 | 0.7369 | 4.0044 | 4.0044 |
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.