| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Williston-Northampton | NE-Prep | 24 | 0 | 6 | 6 | 0.250 | 0.0705 | 0.0705 | 0.1144 | 0.1144 |
| 2022-23 | Williston-Northampton | NE-Prep | 30 | 2 | 8 | 10 | 0.333 | 0.0940 | 0.0940 | 0.1525 | 0.1525 |
| 2023-24 | — | EHL | 31 | 0 | 6 | 6 | 0.194 | 0.0681 | 0.0684 | 0.0949 | 0.0954 |
| 2024-25 | Pembroke Lumber Kings | CCHL | 19 | 0 | 1 | 1 | 0.053 | 0.0168 | 0.0155 | 0.0407 | 0.0374 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. John Fisher | D3 | UCHC | FR | 9 | 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.