| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Calgary Canucks | AJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Calgary Canucks | AJHL | 44 | 13 | 27 | 40 | 0.909 | 0.3049 | 0.3172 | 0.8413 | 0.8751 |
| 2025-26 | Lethbridge Hurricanes | WHL | 46 | 4 | 24 | 28 | 0.609 | 0.2961 | 0.2864 | 1.4936 | 1.4449 |
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.