| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Columbus Mavericks | USPHL-Premier | 37 | 10 | 4 | 14 | 0.378 | 0.0495 | 0.0489 | 0.1284 | 0.1267 |
| 2024-25 | Elmira Impact | USPHL-Premier | 43 | 1 | 5 | 6 | 0.140 | 0.0182 | 0.0169 | 0.0473 | 0.0439 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Rhode Island | ACHA_D1 | — | — | 32 | 15 | 23 | 38 | 1.188 |
| 2025-26 | University of Toledo | ACHA_D1 | — | — | 21 | 1 | 3 | 4 | 0.191 |
| 2024-25 | University of Rhode Island | ACHA_D1 | — | — | 32 | 15 | 23 | 38 | 1.188 |
| 2024-25 | University of Toledo | ACHA_D1 | — | — | 21 | 1 | 3 | 4 | 0.191 |
| 2023-24 | University of Rhode Island | ACHA_D1 | — | — | 32 | 15 | 23 | 38 | 1.188 |
| 2023-24 | University of Toledo | ACHA_D1 | — | — | 21 | 1 | 3 | 4 | 0.191 |
| 2022-23 | University of Rhode Island | ACHA_D1 | — | — | 32 | 15 | 23 | 38 | 1.188 |
| 2022-23 | University of Toledo | ACHA_D1 | — | — | 21 | 1 | 3 | 4 | 0.191 |
| 2021-22 | University of Rhode Island | ACHA_D1 | — | — | 32 | 15 | 23 | 38 | 1.188 |
| 2021-22 | University of Toledo | ACHA_D1 | — | — | 21 | 1 | 3 | 4 | 0.191 |
| 2020-21 | University of Rhode Island | ACHA_D1 | — | — | 32 | 15 | 23 | 38 | 1.188 |
| 2020-21 | University of Toledo | ACHA_D1 | — | — | 21 | 1 | 3 | 4 | 0.191 |
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.