| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Lone Star Brahmas | NAHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Lone Star Brahmas | NAHL | 45 | 2 | 2 | 4 | 0.089 | 0.0330 | 0.0346 | 0.0941 | 0.0986 |
| 2017-18 | Lone Star Brahmas | NAHL | 58 | 4 | 6 | 10 | 0.172 | 0.0640 | 0.0639 | 0.1825 | 0.1823 |
| 2018-19 | Lone Star Brahmas | NAHL | 58 | 8 | 19 | 27 | 0.466 | 0.1728 | 0.1649 | 0.4929 | 0.4702 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Trine | D3 | NCHA | SR | 28 | 6 | 12 | 18 | 0.643 |
| 2021-22 | Trine | D3 | NCHA | JR | 26 | 6 | 12 | 18 | 0.692 |
| 2020-21 | Trine | D3 | NCHA | SO | 14 | 2 | 5 | 7 | 0.500 |
| 2019-20 | Trine | D3 | NCHA | FR | 27 | 4 | 9 | 13 | 0.481 |
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.