| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Lone Star Brahmas | NAHL | 8 | 0 | 1 | 1 | 0.125 | 0.0464 | 0.0469 | 0.1323 | 0.1338 |
| 2017-18 | Texas Jr. Brahmas | NA3HL | 33 | 15 | 24 | 39 | 1.182 | 0.1424 | 0.1356 | 0.3733 | 0.3555 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Lawrence | D3 | NCHA | SR | 26 | 3 | 11 | 14 | 0.538 |
| 2020-21 | Lawrence | D3 | NCHA | JR | 8 | 2 | 5 | 7 | 0.875 |
| 2019-20 | Lawrence | D3 | NCHA | SO | 27 | 5 | 14 | 19 | 0.704 |
| 2018-19 | Lawrence | D3 | NCHA | FR | 23 | 7 | 8 | 15 | 0.652 |
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.