| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Prince George Spruce Kings | BCHL | 48 | 6 | 5 | 11 | 0.229 | 0.0883 | 0.0903 | 0.3336 | 0.3412 |
| 2024-25 | Rouyn-Noranda Huskies | QMJHL | 25 | 2 | 4 | 6 | 0.240 | 0.1179 | 0.1120 | 0.6409 | 0.6088 |
| 2025-26 | Univ. of Ottawa | USports-M | 28 | 11 | 9 | 20 | 0.714 | 0.3769 | 0.4213 | 2.0936 | 2.3404 |
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.