| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Lawrence Academy | NE-Prep | 27 | 1 | 2 | 3 | 0.111 | 0.0214 | 0.0214 | 0.0508 | 0.0508 |
| 2022-23 | South Shore Kings | USPHL-Premier | 39 | 10 | 12 | 22 | 0.564 | 0.0636 | 0.0632 | 0.1919 | 0.1908 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | D3 | MASCAC | SR | 11 | 1 | 1 | 2 | 0.182 |
| 2024-25 | Salem State | D3 | MASCAC | JR | 1 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Salem State | D3 | MASCAC | SO | 12 | 1 | 4 | 5 | 0.417 |
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.