| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Jersey Hitmen | USPHL-Premier | 14 | 1 | 9 | 10 | 0.714 | 0.2354 | 0.2400 | 0.2430 | 0.2478 |
| 2023-24 | East Coast Wizards | EHL | 23 | 3 | 13 | 16 | 0.696 | 0.2448 | 0.2444 | 0.3411 | 0.3405 |
| 2024-25 | East Coast Wizards | EHL | 38 | 13 | 24 | 37 | 0.974 | 0.3426 | 0.3244 | 0.4774 | 0.4521 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Rivier | D3 | MASCAC | FR | 2 | 0 | 0 | 0 | 0.000 |
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.