| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Skylands Kings | NA3HL | 2 | 1 | 1 | 2 | 1.000 | 0.1255 | 0.1255 | 0.3157 | 0.3157 |
| 2022-23 | Hershey Cubs | USPHL-Premier | 37 | 5 | 4 | 9 | 0.243 | 0.0318 | 0.0320 | 0.0825 | 0.0831 |
| 2023-24 | Boston Dukes | EHL | 35 | 5 | 2 | 7 | 0.200 | 0.0462 | 0.0455 | 0.0979 | 0.0965 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | West Virginia University | ACHA_D1 | — | — | 33 | 12 | 8 | 20 | 0.606 |
| 2024-25 | West Virginia University | ACHA_D1 | — | — | 33 | 12 | 8 | 20 | 0.606 |
| 2023-24 | West Virginia University | ACHA_D1 | — | — | 33 | 12 | 8 | 20 | 0.606 |
| 2022-23 | West Virginia University | ACHA_D1 | — | — | 33 | 12 | 8 | 20 | 0.606 |
| 2021-22 | West Virginia University | ACHA_D1 | — | — | 33 | 12 | 8 | 20 | 0.606 |
| 2020-21 | West Virginia University | ACHA_D1 | — | — | 33 | 12 | 8 | 20 | 0.606 |
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.