| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Ottawa Jr. Senators | CCHL | 41 | 8 | 12 | 20 | 0.488 | 0.1058 | 0.1178 | 0.3774 | 0.4202 |
| 2023-24 | Berkshire School | NE-Prep | 29 | 21 | 29 | 50 | 1.724 | 0.3415 | 0.3415 | 0.7855 | 0.7855 |
| 2024-25 | — | BCHL | 46 | 10 | 15 | 25 | 0.543 | 0.2094 | 0.2125 | 0.7910 | 0.8028 |
| 2025-26 | Blackfalds Bulldogs | BCHL | 29 | 5 | 11 | 16 | 0.552 | 0.2126 | 0.2080 | 0.8029 | 0.7854 |
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.