| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Jersey Hitmen | USPHL-Elite | 23 | 6 | 5 | 11 | 0.478 | 0.0441 | 0.0459 | 0.1095 | 0.1141 |
| 2022-23 | New York Apple Core | EHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | New York Apple Core | EHL | 41 | 3 | 8 | 11 | 0.268 | 0.0620 | 0.0630 | 0.1313 | 0.1333 |
| 2024-25 | New York Apple Core | EHL | 46 | 23 | 26 | 49 | 1.065 | 0.2461 | 0.2372 | 0.5212 | 0.5024 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Western Connecticut | D3 | LittleEast | FR | 25 | 6 | 9 | 15 | 0.600 |
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.