| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Provo Predators | USPHL-Premier | 9 | 0 | 1 | 1 | 0.111 | 0.0145 | 0.0157 | 0.0377 | 0.0409 |
| 2023-24 | Wisconsin Rapids Riverkings | USPHL-Premier | 34 | 1 | 0 | 1 | 0.029 | 0.0038 | 0.0039 | 0.0100 | 0.0104 |
| 2024-25 | — | NA3HL | 34 | 0 | 5 | 5 | 0.147 | 0.0185 | 0.0182 | — | — |
| 2025-26 | Rochester Jr. Americans | NAHL | 6 | 0 | 1 | 1 | 0.167 | 0.0612 | 0.0580 | 0.1760 | 0.1667 |
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.