| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Powell River Kings | BCHL | 53 | 18 | 23 | 41 | 0.774 | 0.2981 | 0.3153 | 1.1258 | 1.1907 |
| 2022-23 | Powell River Kings | BCHL | 36 | 16 | 17 | 33 | 0.917 | 0.3532 | 0.3563 | 1.3341 | 1.3457 |
| 2023-24 | Brooks Bandits | AJHL | 45 | 18 | 35 | 53 | 1.178 | 0.3950 | 0.3795 | 1.0899 | 1.0471 |
| 2024-25 | Brooks Bandits | BCHL | 50 | 32 | 30 | 62 | 1.240 | 0.4778 | 0.4360 | 1.8046 | 1.6467 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | D1 | HockeyEast | FR | 38 | 13 | 24 | 37 | 0.974 |
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.