| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Brooklyn Aviators | USPHL-Premier | 30 | 1 | 10 | 11 | 0.367 | 0.0494 | 0.0494 | 0.1248 | 0.1248 |
| 2021-22 | Connecticut Nor'Easter | EHL | 22 | 2 | 6 | 8 | 0.364 | 0.0780 | 0.0751 | 0.1781 | 0.1716 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Concordia | D3 | MIAC | — | 6 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Concordia Wisconsin | D3 | NCHA | FR | 6 | 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.