| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Brooklyn Aviators | USPHL-Premier | 39 | 12 | 20 | 32 | 0.821 | 0.1104 | 0.1147 | 0.2793 | 0.2901 |
| 2022-23 | Brooklyn Aviators | USPHL-Premier | 42 | 23 | 49 | 72 | 1.714 | 0.2307 | 0.2283 | 0.5835 | 0.5774 |
| 2023-24 | Connecticut Jr. Rangers | USPHL-Premier | 42 | 36 | 72 | 108 | 2.571 | 0.3461 | 0.3258 | 0.8753 | 0.8238 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Dartmouth | D3 | — | SO | 25 | 7 | 18 | 25 | 1.000 |
| 2024-25 | UMass Dartmouth | D3 | — | FR | 18 | 7 | 4 | 11 | 0.611 |
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.