| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Chicoutimi Saguenéens | QMJHL | 61 | 25 | 32 | 57 | 0.934 | 0.4591 | 0.5082 | 2.4945 | 2.7614 |
| 2024-25 | Chicoutimi Saguenéens | QMJHL | 59 | 16 | 14 | 30 | 0.508 | 0.2498 | 0.2642 | 1.3575 | 1.4360 |
| 2025-26 | Chicoutimi Saguenéens | QMJHL | 59 | 32 | 33 | 65 | 1.102 | 0.5413 | 0.5470 | 2.9411 | 2.9723 |
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.