| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Northeast Generals | NAHL | 49 | 4 | 12 | 16 | 0.327 | 0.1160 | 0.1208 | 0.3444 | 0.3585 |
| 2022-23 | Northeast Generals | NAHL | 60 | 13 | 26 | 39 | 0.650 | 0.2309 | 0.2290 | 0.6856 | 0.6800 |
| 2023-24 | Northeast Generals | NAHL | 60 | 16 | 67 | 83 | 1.383 | 0.4915 | 0.4640 | 1.4591 | 1.3775 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | D1 | AHA | — | 33 | 8 | 17 | 25 | 0.758 |
| 2024-25 | Long Island Univ. | D1 | AHA | — | 16 | 4 | 3 | 7 | 0.438 |
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.