| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Newmarket Hurricanes | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Newmarket Hurricanes | OJHL | 32 | 1 | 7 | 8 | 0.250 | 0.0751 | 0.0831 | 0.1711 | 0.1894 |
| 2023-24 | Newmarket Hurricanes | OJHL | 51 | 12 | 24 | 36 | 0.706 | 0.2121 | 0.2238 | 0.4832 | 0.5097 |
| 2024-25 | Newmarket Hurricanes | OJHL | 49 | 19 | 21 | 40 | 0.816 | 0.2452 | 0.2461 | 0.5588 | 0.5608 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | D1 | HockeyEast | FR | 7 | 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.