| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Lone Star Brahmas | NAHL | 56 | 11 | 15 | 26 | 0.464 | 0.1706 | 0.1812 | 0.4901 | 0.5205 |
| 2024-25 | Lone Star Brahmas | NAHL | 50 | 12 | 16 | 28 | 0.560 | 0.2057 | 0.2077 | 0.5911 | 0.5967 |
| 2025-26 | — | NAHL | 51 | 10 | 16 | 26 | 0.510 | 0.1873 | 0.1799 | 0.5381 | 0.5167 |
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.