| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | WHL | 12 | 0 | 2 | 2 | 0.167 | 0.0811 | 0.0899 | 0.4090 | 0.4533 |
| 2023-24 | Edmonton Oil Kings | WHL | 67 | 1 | 14 | 15 | 0.224 | 0.1089 | 0.1153 | 0.5494 | 0.5819 |
| 2024-25 | Edmonton Oil Kings | WHL | 57 | 1 | 12 | 13 | 0.228 | 0.1110 | 0.1116 | 0.5597 | 0.5629 |
| 2025-26 | Kelowna Rockets | WHL | 63 | 5 | 25 | 30 | 0.476 | 0.2317 | 0.2223 | 1.1685 | 1.1211 |
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.