| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Pittsburgh Vengeance | USPHL-Premier | 9 | 1 | 1 | 2 | 0.222 | 0.0732 | 0.0732 | 0.0756 | 0.0756 |
| 2021-22 | Caledon Admirals | OJHL | 20 | 1 | 1 | 2 | 0.100 | 0.0300 | 0.0321 | 0.0684 | 0.0731 |
| 2022-23 | Syracuse Lightning | USPHL-Premier | 24 | 40 | 20 | 60 | 2.500 | 0.8240 | 0.8520 | 0.8505 | 0.8794 |
| 2023-24 | — | SJHL | 55 | 15 | 27 | 42 | 0.764 | 0.2326 | 0.2302 | 0.5659 | 0.5600 |
| 2024-25 | Melville Millionaires | SJHL | 38 | 7 | 15 | 22 | 0.579 | 0.1763 | 0.1650 | 0.4290 | 0.4015 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | FR | 8 | 1 | 1 | 2 | 0.250 |
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.