| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | P.A.L. Junior Islanders | USPHL-Premier | 29 | 4 | 12 | 16 | 0.552 | 0.0724 | 0.0724 | 0.1873 | 0.1873 |
| 2021-22 | P.A.L. Junior Islanders | USPHL-Premier | 43 | 19 | 27 | 46 | 1.070 | 0.1404 | 0.1543 | 0.3632 | 0.3990 |
| 2022-23 | P.A.L. Junior Islanders | USPHL-Premier | 35 | 18 | 13 | 31 | 0.886 | 0.1162 | 0.1219 | 0.3007 | 0.3156 |
| 2023-24 | — | EHL | 41 | 20 | 20 | 40 | 0.976 | 0.2254 | 0.2317 | 0.4773 | 0.4907 |
| 2024-25 | Connecticut Jr. Rangers | USPHL-Premier | 43 | 28 | 37 | 65 | 1.512 | 0.1983 | 0.1869 | 0.5132 | 0.4837 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stony Brook University | ACHA_D1 | — | — | 32 | 8 | 14 | 22 | 0.688 |
| 2024-25 | Stony Brook University | ACHA_D1 | — | — | 32 | 8 | 14 | 22 | 0.688 |
| 2023-24 | Stony Brook University | ACHA_D1 | — | — | 32 | 8 | 14 | 22 | 0.688 |
| 2022-23 | Stony Brook University | ACHA_D1 | — | — | 32 | 8 | 14 | 22 | 0.688 |
| 2021-22 | Stony Brook University | ACHA_D1 | — | — | 32 | 8 | 14 | 22 | 0.688 |
| 2020-21 | Stony Brook University | ACHA_D1 | — | — | 32 | 8 | 14 | 22 | 0.688 |
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.