| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | South Shore Kings | USPHL-Premier | 42 | 3 | 7 | 10 | 0.238 | 0.0311 | 0.0325 | 0.0808 | 0.0845 |
| 2022-23 | Metro Jets | USPHL-Premier | 40 | 17 | 21 | 38 | 0.950 | 0.1243 | 0.1239 | 0.3224 | 0.3213 |
| 2023-24 | Metro Jets | USPHL-Premier | 40 | 16 | 14 | 30 | 0.750 | 0.0981 | 0.0930 | 0.2545 | 0.2414 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Grand Valley State University | ACHA_D1 | — | — | 31 | 9 | 8 | 17 | 0.548 |
| 2024-25 | Grand Valley State University | ACHA_D1 | — | — | 31 | 9 | 8 | 17 | 0.548 |
| 2023-24 | Grand Valley State University | ACHA_D1 | — | — | 31 | 9 | 8 | 17 | 0.548 |
| 2022-23 | Grand Valley State University | ACHA_D1 | — | — | 31 | 9 | 8 | 17 | 0.548 |
| 2021-22 | Grand Valley State University | ACHA_D1 | — | — | 31 | 9 | 8 | 17 | 0.548 |
| 2020-21 | Grand Valley State University | ACHA_D1 | — | — | 31 | 9 | 8 | 17 | 0.548 |
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.