| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Vermont Lumberjacks | EHL | 12 | 1 | 0 | 1 | 0.083 | 0.0293 | 0.0300 | 0.0408 | 0.0418 |
| 2023-24 | Vermont Lumberjacks | EHL | 46 | 17 | 20 | 37 | 0.804 | 0.2830 | 0.2759 | 0.3943 | 0.3844 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Southern Maine | D3 | — | SO | 22 | 0 | 4 | 4 | 0.182 |
| 2024-25 | Southern Maine | D3 | NEHC | FR | 9 | 2 | 1 | 3 | 0.333 |
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.