| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Edmonton Oil Kings | WHL | 5 | 0 | 2 | 2 | 0.400 | 0.1946 | 0.2221 | 0.9771 | 1.1150 |
| 2022-23 | Edmonton Oil Kings | WHL | 61 | 12 | 31 | 43 | 0.705 | 0.3429 | 0.3753 | 1.7219 | 1.8846 |
| 2023-24 | Edmonton Oil Kings | WHL | 61 | 23 | 47 | 70 | 1.147 | 0.5583 | 0.5835 | 2.8030 | 2.9297 |
| 2024-25 | Edmonton Oil Kings | WHL | 61 | 24 | 38 | 62 | 1.016 | 0.4945 | 0.4904 | 2.4828 | 2.4624 |
| 2025-26 | Edmonton Oil Kings | WHL | 41 | 12 | 38 | 50 | 1.220 | 0.5933 | 0.5610 | 2.9789 | 2.8165 |
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.