| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Cushing Academy | NE-Prep | 32 | 10 | 24 | 34 | 1.062 | 0.2105 | 0.2105 | 0.4841 | 0.4841 |
| 2024-25 | Cushing Academy | NE-Prep | 31 | 5 | 25 | 30 | 0.968 | 0.1917 | 0.1917 | — | — |
| 2025-26 | Des Moines Buccaneers | USHL | 62 | 10 | 26 | 36 | 0.581 | 0.3425 | 0.3264 | 1.7438 | 1.6620 |
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.