| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lawrence Academy | NE-Prep | 26 | 3 | 8 | 11 | 0.423 | 0.0838 | 0.0838 | 0.1928 | 0.1928 |
| 2023-24 | Lawrence Academy | NE-Prep | 27 | 6 | 13 | 19 | 0.704 | 0.1394 | 0.1394 | 0.3206 | 0.3206 |
| 2024-25 | New Jersey Jr. Titans | NAHL | 59 | 22 | 23 | 45 | 0.763 | 0.2802 | 0.2753 | 0.8050 | 0.7910 |
| 2025-26 | New Jersey Jr. Titans | NAHL | 59 | 14 | 30 | 44 | 0.746 | 0.2740 | 0.2558 | 0.7872 | 0.7348 |
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.