| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Charlotte Rush | USPHL-Premier | 35 | 8 | 7 | 15 | 0.429 | 0.0561 | 0.0561 | 0.1455 | 0.1455 |
| 2020-21 | Charlotte Rush | USPHL-Premier | 40 | 11 | 18 | 29 | 0.725 | 0.0948 | 0.0948 | 0.2461 | 0.2461 |
| 2021-22 | New Jersey 87's | EHL | 36 | 16 | 19 | 35 | 0.972 | 0.2246 | 0.2253 | 0.4757 | 0.4772 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Cortland | D3 | SUNYAC | SR | 13 | 2 | 2 | 4 | 0.308 |
| 2024-25 | SUNY Cortland | D3 | SUNYAC | JR | 3 | 1 | 0 | 1 | 0.333 |
| 2023-24 | SUNY Cortland | D3 | SUNYAC | SO | 28 | 6 | 3 | 9 | 0.321 |
| 2022-23 | SUNY Cortland | D3 | SUNYAC | FR | 17 | 6 | 0 | 6 | 0.353 |
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.