| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Spokane Chiefs | WHL | 51 | 3 | 3 | 6 | 0.118 | 0.0572 | 0.0643 | 0.2886 | 0.3244 |
| 2022-23 | Spokane Chiefs | WHL | 68 | 8 | 8 | 16 | 0.235 | 0.1145 | 0.1234 | 0.5774 | 0.6221 |
| 2023-24 | Tri-City Americans | WHL | 16 | 3 | 4 | 7 | 0.438 | 0.2128 | 0.2188 | 1.0735 | 1.1036 |
| 2024-25 | Tri-City Americans | WHL | 62 | 14 | 19 | 33 | 0.532 | 0.2590 | 0.2524 | 1.3061 | 1.2730 |
| 2025-26 | Tri-City Americans | WHL | 65 | 11 | 29 | 40 | 0.615 | 0.2994 | 0.2780 | 1.5100 | 1.4018 |
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.