| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Jersey Hitmen | NCDC | 5 | 2 | 3 | 5 | 1.000 | 0.4077 | 0.4452 | 0.8002 | 0.8738 |
| 2023-24 | New Jersey Jr. Titans | NAHL | 46 | 11 | 3 | 14 | 0.304 | 0.1118 | 0.1163 | 0.3216 | 0.3346 |
| 2024-25 | New Jersey Jr. Titans | NAHL | 6 | 1 | 0 | 1 | 0.167 | 0.0612 | 0.0605 | 0.1762 | 0.1741 |
| 2025-26 | — | NAHL | 49 | 11 | 11 | 22 | 0.449 | 0.1650 | 0.1549 | 0.4745 | 0.4455 |
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.