| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Mississauga Chargers | OJHL | 53 | 17 | 26 | 43 | 0.811 | 0.2437 | 0.2611 | 0.5553 | 0.5950 |
| 2022-23 | Madison Capitols | USHL | 6 | 1 | 0 | 1 | 0.167 | 0.1025 | 0.1029 | 0.4911 | 0.4931 |
| 2023-24 | Nanaimo Clippers | BCHL | 49 | 20 | 16 | 36 | 0.735 | 0.2737 | 0.2684 | 1.0705 | 1.0496 |
| 2024-25 | Nanaimo Clippers | BCHL | 54 | 27 | 40 | 67 | 1.241 | 0.4622 | 0.4299 | 1.8078 | 1.6817 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Lowell | D1 | HockeyEast | FR | 17 | 0 | 1 | 1 | 0.059 |
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.