| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Ogden Mustangs | NCDC | 21 | 2 | 5 | 7 | 0.333 | 0.1359 | 0.1414 | 0.3518 | 0.3678 |
| 2024-25 | Amarillo Wranglers | NAHL | 34 | 14 | 15 | 29 | 0.853 | 0.3134 | 0.3112 | 0.9002 | 0.8939 |
| 2025-26 | — | NAHL | 57 | 21 | 23 | 44 | 0.772 | 0.2836 | 0.2677 | 0.8147 | 0.7689 |
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.