| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Texas Jr. Brahmas | NA3HL | 47 | 3 | 18 | 21 | 0.447 | 0.0561 | 0.0561 | 0.1411 | 0.1411 |
| 2020-21 | Texas Jr. Brahmas | NA3HL | 36 | 3 | 20 | 23 | 0.639 | 0.0802 | 0.0802 | 0.2017 | 0.2017 |
| 2021-22 | Texas Jr. Brahmas | NA3HL | 40 | 2 | 26 | 28 | 0.700 | 0.0878 | 0.0801 | 0.2210 | 0.2016 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | King's | D3 | MAC | — | 1 | 0 | 0 | 0 | 0.000 |
| 2022-23 | King's | D3 | MAC | — | 13 | 0 | 2 | 2 | 0.154 |
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.