| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Governors Academy | NE-Prep | 26 | 1 | 4 | 5 | 0.192 | 0.0381 | 0.0381 | 0.0876 | 0.0876 |
| 2023-24 | Governors Academy | NE-Prep | 26 | 9 | 7 | 16 | 0.615 | 0.1219 | 0.1219 | 0.2804 | 0.2804 |
| 2024-25 | — | NAHL | 29 | 3 | 2 | 5 | 0.172 | 0.0633 | 0.0635 | 0.1820 | 0.1825 |
| 2025-26 | South Shore Kings | NCDC | 51 | 18 | 18 | 36 | 0.706 | 0.2878 | 0.2738 | 0.5674 | 0.5399 |
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.