| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | WB/Scranton Knights | USPHL-Premier | 36 | 5 | 8 | 13 | 0.361 | 0.0407 | 0.0409 | 0.1228 | 0.1235 |
| 2023-24 | Charlotte Rush | USPHL-Premier | 39 | 18 | 17 | 35 | 0.897 | 0.1012 | 0.0969 | 0.3053 | 0.2923 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lebanon Valley | D3 | MAC | — | 25 | 6 | 6 | 12 | 0.480 |
| 2024-25 | Lebanon Valley | D3 | MAC | — | 21 | 2 | 2 | 4 | 0.191 |
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.