| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Richmond Generals | USPHL-Premier | 38 | 3 | 9 | 12 | 0.316 | 0.0356 | 0.0365 | 0.1074 | 0.1102 |
| 2023-24 | Philadelphia Hockey Club | EHL | 45 | 4 | 19 | 23 | 0.511 | 0.0748 | 0.0752 | — | — |
| 2024-25 | West Chester Wolves | NCDC | 37 | 2 | 7 | 9 | 0.243 | 0.0562 | 0.0528 | 0.1967 | 0.1849 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wilkes | D3 | MAC | — | 24 | 1 | 7 | 8 | 0.333 |
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.