| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Atlanta Mad Hatters | USPHL-Premier | 31 | 4 | 2 | 6 | 0.194 | 0.0253 | 0.0253 | 0.0657 | 0.0657 |
| 2020-21 | Atlanta Mad Hatters | USPHL-Premier | 26 | 4 | 2 | 6 | 0.231 | 0.0302 | 0.0302 | 0.0783 | 0.0783 |
| 2021-22 | Oklahoma City Ice Hawks | NA3HL | 47 | 26 | 42 | 68 | 1.447 | 0.1816 | 0.1780 | 0.4568 | 0.4476 |
| 2022-23 | Red River Spartans | USPHL-Premier | 39 | 13 | 37 | 50 | 1.282 | 0.1677 | 0.1570 | 0.4351 | 0.4074 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Missouri State University | ACHA_D1 | — | — | 3 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Missouri State University | ACHA_D1 | — | — | 3 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Missouri State University | ACHA_D1 | — | — | 3 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Missouri State University | ACHA_D1 | — | — | 3 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Missouri State University | ACHA_D1 | — | — | 3 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Missouri State University | ACHA_D1 | — | — | 3 | 0 | 0 | 0 | 0.000 |
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.