| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Amarillo Wranglers | NAHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Philadelphia Hockey Club | USPHL-Premier | 28 | 1 | 3 | 4 | 0.143 | 0.0161 | 0.0161 | 0.0486 | 0.0486 |
| 2020-21 | Philadelphia Little Flyers | EHL | 33 | 6 | 5 | 11 | 0.333 | 0.0488 | 0.0488 | 0.1634 | 0.1634 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Arcadia | D3 | MAC | SR | 25 | 6 | 5 | 11 | 0.440 |
| 2023-24 | Arcadia | D3 | MAC | JR | 22 | 0 | 5 | 5 | 0.227 |
| 2022-23 | Arcadia | D3 | MAC | SO | 25 | 2 | 4 | 6 | 0.240 |
| 2021-22 | Arcadia | D3 | MAC | FR | 18 | 0 | 4 | 4 | 0.222 |
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.