| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Red Deer Rebels | WHL | 60 | 8 | 6 | 14 | 0.233 | 0.1135 | 0.1230 | 0.5724 | 0.6205 |
| 2022-23 | Red Deer Rebels | WHL | 68 | 5 | 10 | 15 | 0.221 | 0.1073 | 0.1113 | 0.5413 | 0.5615 |
| 2023-24 | Red Deer Rebels | WHL | 66 | 20 | 14 | 34 | 0.515 | 0.2506 | 0.2476 | 1.2641 | 1.2491 |
| 2024-25 | Red Deer Rebels | WHL | 68 | 9 | 19 | 28 | 0.412 | 0.2003 | 0.1872 | 1.0104 | 0.9444 |
| 2025-26 | Red Deer Rebels | WHL | 67 | 20 | 18 | 38 | 0.567 | 0.2759 | 0.2451 | 1.3917 | 1.2364 |
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.