| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Texas Jr. Brahmas | NA3HL | 4 | 1 | 0 | 1 | 0.250 | 0.0314 | 0.0323 | 0.0789 | 0.0811 |
| 2022-23 | Texas Roadrunners | NA3HL | 44 | 6 | 12 | 18 | 0.409 | 0.0513 | 0.0504 | 0.1292 | 0.1270 |
| 2023-24 | Texas Roadrunners | NA3HL | 47 | 14 | 28 | 42 | 0.894 | 0.1121 | 0.1048 | 0.2821 | 0.2637 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Oklahoma | ACHA_D1 | — | — | 4 | 1 | 1 | 2 | 0.500 |
| 2024-25 | University of Oklahoma | ACHA_D1 | — | — | 4 | 1 | 1 | 2 | 0.500 |
| 2023-24 | University of Oklahoma | ACHA_D1 | — | — | 4 | 1 | 1 | 2 | 0.500 |
| 2022-23 | University of Oklahoma | ACHA_D1 | — | — | 4 | 1 | 1 | 2 | 0.500 |
| 2021-22 | University of Oklahoma | ACHA_D1 | — | — | 4 | 1 | 1 | 2 | 0.500 |
| 2020-21 | University of Oklahoma | ACHA_D1 | — | — | 4 | 1 | 1 | 2 | 0.500 |
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.