| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Trinity-Pawling | NE-Prep | 6 | 1 | 2 | 3 | 0.500 | 0.0964 | 0.0964 | 0.2288 | 0.2288 |
| 2021-22 | Maine Nordiques | NAHL | 56 | 1 | 9 | 10 | 0.179 | 0.0634 | 0.0671 | 0.1875 | 0.1985 |
| 2022-23 | Maine Nordiques | NAHL | 57 | 1 | 14 | 15 | 0.263 | 0.0935 | 0.0944 | 0.2763 | 0.2789 |
| 2023-24 | Northeast Generals | NAHL | 59 | 5 | 29 | 34 | 0.576 | 0.2047 | 0.1968 | 0.6051 | 0.5819 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Trinity | D3 | NESCAC | SO | 16 | 1 | 1 | 2 | 0.125 |
| 2024-25 | Trinity | D3 | NESCAC | — | 14 | 0 | 3 | 3 | 0.214 |
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.