| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Williston-Northampton | NE-Prep | 26 | 5 | 5 | 10 | 0.385 | 0.0742 | 0.0742 | 0.1760 | 0.1760 |
| 2021-22 | Williston-Northampton | NE-Prep | 24 | 4 | 6 | 10 | 0.417 | 0.0804 | 0.0804 | 0.1907 | 0.1907 |
| 2022-23 | H.C. Rhode Island | EHL | 31 | 1 | 7 | 8 | 0.258 | 0.0378 | 0.0377 | 0.1265 | 0.1260 |
| 2023-24 | H.C. Rhode Island | EHL | 39 | 3 | 9 | 12 | 0.308 | 0.0450 | 0.0426 | 0.1509 | 0.1427 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nichols | D3 | CNE | SO | 9 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Nichols | D3 | CNE | — | 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.