| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cobourg Cougars | OJHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Newmarket Hurricanes | OJHL | 52 | 4 | 21 | 25 | 0.481 | 0.1178 | 0.1144 | 0.3291 | 0.3196 |
| 2022-23 | Newmarket Hurricanes | OJHL | 54 | 7 | 18 | 25 | 0.463 | 0.1135 | 0.1044 | 0.3169 | 0.2915 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Norwich | D3 | LittleEast | GR | 28 | 1 | 5 | 6 | 0.214 |
| 2024-25 | Norwich | D3 | LittleEast | SR | 28 | 0 | 4 | 4 | 0.143 |
| 2023-24 | Norwich | D3 | LittleEast | JR | 25 | 0 | 3 | 3 | 0.120 |
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.