| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Nanaimo Clippers | BCHL | 53 | 4 | 13 | 17 | 0.321 | 0.1236 | 0.1299 | 0.4669 | 0.4906 |
| 2024-25 | Baie-Comeau Drakkar | QMJHL | 38 | 11 | 20 | 31 | 0.816 | 0.4008 | 0.3921 | 2.1784 | 2.1309 |
| 2025-26 | Nanaimo Clippers | BCHL | 46 | 19 | 30 | 49 | 1.065 | 0.4104 | 0.3955 | 0.8900 | 0.8285 |
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.