| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Boston Dukes | EHL | 39 | 9 | 7 | 16 | 0.410 | 0.0948 | 0.0948 | 0.2008 | 0.2008 |
| 2020-21 | Boston Dukes | EHL | 38 | 9 | 12 | 21 | 0.553 | 0.1277 | 0.1277 | 0.2704 | 0.2704 |
| 2021-22 | Boston Dukes | EHL | 45 | 14 | 13 | 27 | 0.600 | 0.1386 | 0.1322 | 0.2936 | 0.2801 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Framingham State | D3 | MASCAC | — | 4 | 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.