| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Charlotte Rush | USPHL-Elite | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Charlotte Rush | USPHL-Elite | 29 | 34 | 36 | 70 | 2.414 | 0.2894 | 0.2654 | 0.5542 | 0.5083 |
| 2018-19 | Charlotte Rush | USPHL-Premier | 40 | 16 | 14 | 30 | 0.750 | 0.1009 | 0.0924 | 0.2553 | 0.2337 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lebanon Valley | D3 | MAC | SR | 15 | 2 | 2 | 4 | 0.267 |
| 2021-22 | Lebanon Valley | D3 | MAC | JR | 14 | 2 | 2 | 4 | 0.286 |
| 2020-21 | Lebanon Valley | D3 | MAC | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Lebanon Valley | D3 | MAC | FR | 16 | 2 | 2 | 4 | 0.250 |
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.