| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Advantage | USPHL-Premier | 22 | 2 | 6 | 8 | 0.364 | 0.0410 | 0.0426 | 0.1237 | 0.1284 |
| 2022-23 | Boston Advantage | NCDC | 15 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nichols | D3 | CNE | SR | 25 | 2 | 2 | 4 | 0.160 |
| 2024-25 | Nichols | D3 | CNE | JR | 24 | 2 | 2 | 4 | 0.167 |
| 2023-24 | Nichols | D3 | CNE | SO | 15 | 1 | 0 | 1 | 0.067 |
| 2022-23 | Nichols | D3 | CNE | FR | 13 | 0 | 2 | 2 | 0.154 |
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.