| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Cushing Academy | NE-Prep | 30 | 0 | 18 | 18 | 0.600 | 0.1189 | 0.1189 | 0.2734 | 0.2734 |
| 2023-24 | Cushing Academy | NE-Prep | 32 | 0 | 18 | 18 | 0.562 | 0.1114 | 0.1114 | 0.2563 | 0.2563 |
| 2024-25 | Cushing Academy | NE-Prep | 31 | 1 | 7 | 8 | 0.258 | 0.0511 | 0.0511 | 0.1176 | 0.1176 |
| 2025-26 | West Kelowna Warriors | BCHL | 49 | 0 | 3 | 3 | 0.061 | 0.0236 | 0.0244 | 0.0891 | 0.0921 |
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.