| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Caledon Admirals | OJHL | 36 | 7 | 4 | 11 | 0.306 | 0.0749 | 0.0792 | 0.2092 | 0.2213 |
| 2022-23 | Toronto Patriots | OJHL | 48 | 4 | 18 | 22 | 0.458 | 0.1123 | 0.1130 | 0.3137 | 0.3157 |
| 2023-24 | Markham Royals | OJHL | 46 | 10 | 25 | 35 | 0.761 | 0.1865 | 0.1780 | 0.5208 | 0.4972 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Amherst | D3 | NESCAC | SO | 22 | 0 | 3 | 3 | 0.136 |
| 2024-25 | Amherst | D3 | NESCAC | — | 16 | 1 | 4 | 5 | 0.312 |
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.