| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Mississauga Chargers | OJHL | 49 | 0 | 6 | 6 | 0.122 | 0.0300 | 0.0304 | 0.0838 | 0.0850 |
| 2023-24 | Caledon Admirals | OJHL | 51 | 2 | 14 | 16 | 0.314 | 0.0769 | 0.0740 | 0.2147 | 0.2066 |
| 2024-25 | Oakville Blades | OJHL | 53 | 1 | 19 | 20 | 0.377 | 0.0925 | 0.0843 | 0.2583 | 0.2353 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Brockport | D3 | — | FR | 20 | 3 | 1 | 4 | 0.200 |
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.