| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Elmira Impact | USPHL-Premier | 44 | 5 | 13 | 18 | 0.409 | 0.0461 | 0.0493 | 0.1392 | 0.1488 |
| 2022-23 | Elmira Impact | USPHL-Premier | 41 | 8 | 28 | 36 | 0.878 | 0.0990 | 0.1009 | 0.2987 | 0.3045 |
| 2023-24 | Utica Jr. Comets | NCDC | 50 | 2 | 10 | 12 | 0.240 | 0.0555 | 0.0543 | 0.1941 | 0.1897 |
| 2024-25 | Utica Jr. Comets | NCDC | 50 | 3 | 7 | 10 | 0.200 | 0.0462 | 0.0431 | 0.1617 | 0.1509 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. John Fisher | D3 | UCHC | FR | 23 | 3 | 1 | 4 | 0.174 |
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.