| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Albany Academy | NE-Prep | 22 | 11 | 5 | 16 | 0.727 | 0.2052 | 0.2052 | 0.3328 | 0.3328 |
| 2022-23 | Albany Academy | NE-Prep | 30 | 18 | 7 | 25 | 0.833 | 0.2351 | 0.2351 | 0.3813 | 0.3813 |
| 2023-24 | Worcester Jr. Railers | EHL | 43 | 8 | 15 | 23 | 0.535 | 0.1882 | 0.1900 | 0.2623 | 0.2649 |
| 2024-25 | Worcester Jr. Railers | NCDC | 57 | 11 | 13 | 24 | 0.421 | 0.2348 | 0.2219 | 0.3405 | 0.3217 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Elmira | D3 | UCHC | FR | 25 | 7 | 2 | 9 | 0.360 |
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.