| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Pittsburgh Vengeance | USPHL-Premier | 38 | 10 | 15 | 25 | 0.658 | 0.0742 | 0.0742 | 0.2234 | 0.2234 |
| 2021-22 | Pittsburgh Vengeance | USPHL-Premier | 35 | 18 | 25 | 43 | 1.229 | 0.1386 | 0.1418 | 0.4171 | 0.4268 |
| 2022-23 | New York Apple Core | EHL | 42 | 16 | 18 | 34 | 0.809 | 0.1185 | 0.1189 | 0.3965 | 0.3978 |
| 2023-24 | New York Apple Core | EHL | 43 | 20 | 37 | 57 | 1.326 | 0.1941 | 0.1849 | 0.6493 | 0.6186 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | D3 | MASCAC | — | 25 | 4 | 7 | 11 | 0.440 |
| 2024-25 | Salem State | D3 | MASCAC | — | 22 | 3 | 6 | 9 | 0.409 |
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.