| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | New Hampshire Jr. Monarchs | USPHL-Premier | 6 | 1 | 1 | 2 | 0.333 | 0.0449 | 0.0494 | 0.1135 | 0.1249 |
| 2020-21 | Protec Jr. Ducks | EHL | 12 | 1 | 3 | 4 | 0.333 | 0.0715 | 0.0715 | 0.1632 | 0.1632 |
| 2021-22 | New Jersey 87's | EHL | 31 | 16 | 19 | 35 | 1.129 | 0.2423 | 0.2387 | 0.5529 | 0.5448 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stony Brook University | ACHA_D1 | — | — | 30 | 6 | 7 | 13 | 0.433 |
| 2024-25 | SUNY Brockport | D3 | — | JR | 18 | 4 | 4 | 8 | 0.444 |
| 2024-25 | Stony Brook University | ACHA_D1 | — | — | 30 | 6 | 7 | 13 | 0.433 |
| 2023-24 | SUNY Brockport | D3 | SUNYAC | SO | 22 | 5 | 2 | 7 | 0.318 |
| 2023-24 | Stony Brook University | ACHA_D1 | — | — | 30 | 6 | 7 | 13 | 0.433 |
| 2022-23 | SUNY Brockport | D3 | SUNYAC | FR | 15 | 7 | 1 | 8 | 0.533 |
| 2022-23 | Stony Brook University | ACHA_D1 | — | — | 30 | 6 | 7 | 13 | 0.433 |
| 2021-22 | Stony Brook University | ACHA_D1 | — | — | 30 | 6 | 7 | 13 | 0.433 |
| 2020-21 | Stony Brook University | ACHA_D1 | — | — | 30 | 6 | 7 | 13 | 0.433 |
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.