| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Carolina Jr. Hurricanes | USPHL-Premier | 37 | 16 | 20 | 36 | 0.973 | 0.1310 | 0.1302 | 0.3312 | 0.3292 |
| 2022-23 | Richmond Generals | USPHL-Premier | 39 | 17 | 18 | 35 | 0.897 | 0.1208 | 0.1141 | 0.3055 | 0.2887 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Potsdam | D3 | SUNYAC | JR | 22 | 7 | 3 | 10 | 0.455 |
| 2024-25 | SUNY Potsdam | D3 | SUNYAC | SO | 26 | 6 | 4 | 10 | 0.385 |
| 2023-24 | SUNY Potsdam | D3 | SUNYAC | FR | 25 | 5 | 4 | 9 | 0.360 |
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.