| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Brandon Wheat Kings | WHL | 16 | 3 | 1 | 4 | 0.250 | 0.1216 | 0.1216 | 0.6126 | 0.6126 |
| 2021-22 | Brandon Wheat Kings | WHL | 66 | 9 | 12 | 21 | 0.318 | 0.1548 | 0.1643 | 0.7797 | 0.8277 |
| 2022-23 | Lethbridge Hurricanes | WHL | 64 | 19 | 29 | 48 | 0.750 | 0.3649 | 0.3703 | 1.8377 | 1.8651 |
| 2023-24 | Vancouver Giants | WHL | 67 | 23 | 22 | 45 | 0.672 | 0.3267 | 0.3155 | 1.6456 | 1.5891 |
| 2024-25 | Vancouver Giants | WHL | 35 | 10 | 15 | 25 | 0.714 | 0.3475 | 0.3170 | 1.7502 | 1.5966 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Niagara | D1 | AHA | FR | 14 | 2 | 2 | 4 | 0.286 |
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.