| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Islanders Hockey Club | USPHL-Elite | 37 | 22 | 33 | 55 | 1.486 | 0.2612 | 0.2499 | 0.3406 | 0.3258 |
| 2018-19 | Islanders Hockey Club | USPHL-Premier | 40 | 9 | 8 | 17 | 0.425 | 0.1401 | 0.1338 | 0.1446 | 0.1381 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Johnson & Wales | D3 | CNE | SR | 16 | 0 | 2 | 2 | 0.125 |
| 2021-22 | Johnson & Wales | D3 | CNE | JR | 23 | 1 | 4 | 5 | 0.217 |
| 2020-21 | Johnson & Wales | D3 | CNE | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Johnson & Wales | D3 | CNE | FR | 21 | 0 | 1 | 1 | 0.048 |
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.