| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Texas Jr. Brahmas | NA3HL | 33 | 8 | 12 | 20 | 0.606 | 0.0761 | 0.0761 | 0.1913 | 0.1913 |
| 2021-22 | Texas Jr. Brahmas | NA3HL | 47 | 33 | 40 | 73 | 1.553 | 0.1949 | 0.1961 | 0.4903 | 0.4933 |
| 2022-23 | Texas Jr. Brahmas | NA3HL | 47 | 39 | 36 | 75 | 1.596 | 0.2003 | 0.1924 | 0.5038 | 0.4840 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Oklahoma | ACHA_D1 | — | — | 30 | 12 | 12 | 24 | 0.800 |
| 2024-25 | Fitchburg State | D3 | MASCAC | — | 20 | 3 | 2 | 5 | 0.250 |
| 2024-25 | University of Oklahoma | ACHA_D1 | — | — | 30 | 12 | 12 | 24 | 0.800 |
| 2023-24 | Fitchburg State | D3 | MASCAC | — | 26 | 10 | 9 | 19 | 0.731 |
| 2023-24 | University of Oklahoma | ACHA_D1 | — | — | 30 | 12 | 12 | 24 | 0.800 |
| 2022-23 | University of Oklahoma | ACHA_D1 | — | — | 30 | 12 | 12 | 24 | 0.800 |
| 2021-22 | University of Oklahoma | ACHA_D1 | — | — | 30 | 12 | 12 | 24 | 0.800 |
| 2020-21 | University of Oklahoma | ACHA_D1 | — | — | 30 | 12 | 12 | 24 | 0.800 |
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.