| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Atlanta Capitals | NA3HL | 13 | 2 | 1 | 3 | 0.231 | 0.0290 | 0.0295 | 0.0729 | 0.0743 |
| 2018-19 | New Jersey Rockets | USPHL-Premier | 41 | 1 | 6 | 7 | 0.171 | 0.0223 | 0.0217 | 0.0579 | 0.0563 |
| 2019-20 | Brooklyn Aviators | USPHL-Premier | 31 | 2 | 6 | 8 | 0.258 | 0.0338 | 0.0338 | 0.0876 | 0.0876 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Post | D2 | NE10 | — | 7 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Post | D2 | NE10 | — | 0 | 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.