| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Boston Jr. Bruins | USPHL-Premier | 29 | 5 | 6 | 11 | 0.379 | 0.0496 | 0.0511 | 0.1287 | 0.1326 |
| 2019-20 | East Coast Wizards | EHL | 15 | 0 | 1 | 1 | 0.067 | 0.0154 | 0.0154 | 0.0326 | 0.0326 |
| 2020-21 | Boston Jr. Bruins | USPHL-Premier | 28 | 3 | 6 | 9 | 0.321 | 0.0420 | 0.0420 | 0.1091 | 0.1091 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Johnson & Wales | D3 | CNE | — | 4 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Johnson & Wales | D3 | CNE | — | 5 | 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.