| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Jr. Rangers | EHL | 14 | 0 | 2 | 2 | 0.143 | 0.0209 | 0.0209 | 0.0701 | 0.0701 |
| 2022-23 | Boston Jr. Rangers | EHL | 38 | 5 | 9 | 14 | 0.368 | 0.0539 | 0.0511 | 0.1806 | 0.1711 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Castleton | D3 | LittleEast | GR | 14 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Castleton | D3 | LittleEast | SR | 11 | 1 | 0 | 1 | 0.091 |
| 2023-24 | Castleton | D3 | LittleEast | JR | 4 | 1 | 3 | 4 | 1.000 |
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.