| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | WHL | 24 | 10 | 10 | 20 | 0.833 | 0.4054 | 0.4054 | 2.0387 | 2.0387 |
| 2021-22 | — | WHL | 58 | 25 | 38 | 63 | 1.086 | 0.5284 | 0.5789 | 2.6574 | 2.9116 |
| 2022-23 | — | WHL | 60 | 36 | 62 | 98 | 1.633 | 0.7946 | 0.8336 | 3.9959 | 4.1918 |
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.