| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | New Jersey Renegades | EHLP | 8 | 9 | 4 | 13 | 1.625 | 0.1864 | 0.1821 | 0.3663 | 0.3578 |
| 2019-20 | — | NA3HL | 23 | 13 | 12 | 25 | 1.087 | 0.1364 | 0.1364 | 0.3432 | 0.3432 |
| 2020-21 | New Jersey Jr. Titans | NA3HL | 29 | 11 | 9 | 20 | 0.690 | 0.0866 | 0.0866 | 0.2177 | 0.2177 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Rivier | D3 | MASCAC | — | 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.