| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Jr. Rangers | EHLP | 35 | 3 | 11 | 14 | 0.400 | 0.0260 | 0.0255 | 0.0901 | 0.0884 |
| 2022-23 | Valley Jr. Warriors | EHL | 40 | 0 | 4 | 4 | 0.100 | 0.0146 | 0.0144 | 0.0490 | 0.0484 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Framingham State | D3 | MASCAC | GR | 19 | 2 | 1 | 3 | 0.158 |
| 2024-25 | Framingham State | D3 | MASCAC | SR | 7 | 1 | 2 | 3 | 0.429 |
| 2023-24 | Framingham State | D3 | MASCAC | JR | 3 | 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.