| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Atlanta Kings | USPHL-Elite | 6 | 2 | 1 | 3 | 0.500 | 0.0878 | 0.0972 | 0.1145 | 0.1268 |
| 2019-20 | Atlanta Mad Hatters | USPHL-Elite | 42 | 21 | 9 | 30 | 0.714 | 0.1255 | 0.1255 | 0.1636 | 0.1636 |
| 2020-21 | Atlanta Mad Hatters | USPHL-Premier | 20 | 2 | 1 | 3 | 0.150 | 0.0494 | 0.0494 | 0.0510 | 0.0510 |
| 2021-22 | Charlotte Rush | USPHL-Elite | 40 | 16 | 17 | 33 | 0.825 | 0.1450 | 0.1392 | 0.1890 | 0.1815 |
| 2022-23 | — | USPHL-Premier | 26 | 1 | 3 | 4 | 0.154 | 0.0507 | 0.0484 | 0.0523 | 0.0500 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Western Michigan | ACHA_D1 | — | — | 28 | 1 | 1 | 2 | 0.071 |
| 2024-25 | Western Michigan | ACHA_D1 | — | — | 28 | 1 | 1 | 2 | 0.071 |
| 2023-24 | Western Michigan | ACHA_D1 | — | — | 28 | 1 | 1 | 2 | 0.071 |
| 2022-23 | Western Michigan | ACHA_D1 | — | — | 28 | 1 | 1 | 2 | 0.071 |
| 2021-22 | Western Michigan | ACHA_D1 | — | — | 28 | 1 | 1 | 2 | 0.071 |
| 2020-21 | Western Michigan | ACHA_D1 | — | — | 28 | 1 | 1 | 2 | 0.071 |
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.