| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Spruce Grove Saints | AJHL | 42 | 0 | 12 | 12 | 0.286 | 0.0954 | 0.1037 | 0.2652 | 0.2883 |
| 2023-24 | Spruce Grove Saints | AJHL | 46 | 2 | 21 | 23 | 0.500 | 0.1670 | 0.1737 | 0.4642 | 0.4827 |
| 2024-25 | — | BCHL | 50 | 4 | 21 | 25 | 0.500 | 0.1946 | 0.1930 | 0.7291 | 0.7230 |
| 2025-26 | Cowichan Valley Capitals | BCHL | 50 | 7 | 31 | 38 | 0.760 | 0.2958 | 0.2824 | 1.1083 | 1.0583 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Saint Anselm | D2 | — | FR | 3 | 0 | 0 | 0 | 0.000 |
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.