| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Windsor Spitfires | OHL | 63 | 4 | 9 | 13 | 0.206 | 0.1193 | 0.1246 | 0.5301 | 0.5535 |
| 2022-23 | Windsor Spitfires | OHL | 67 | 2 | 24 | 26 | 0.388 | 0.2245 | 0.2247 | 0.9972 | 0.9980 |
| 2023-24 | Sudbury Wolves | OHL | 66 | 3 | 52 | 55 | 0.833 | 0.4821 | 0.4594 | 2.1412 | 2.0406 |
| 2024-25 | Sudbury Wolves | OHL | 66 | 6 | 32 | 38 | 0.576 | 0.3331 | 0.3003 | 1.4795 | 1.3336 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | New Hampshire | D1 | HockeyEast | FR | 27 | 0 | 3 | 3 | 0.111 |
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.