| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Chicago Cougars | USPHL-Premier | 38 | 21 | 16 | 37 | 0.974 | 0.1274 | 0.1308 | 0.3305 | 0.3393 |
| 2018-19 | Chicago T-Rex | USPHL-Premier | 44 | 33 | 34 | 67 | 1.523 | 0.1992 | 0.1939 | 0.5168 | 0.5031 |
| 2019-20 | Chicago T-Rex | USPHL-Premier | 43 | 28 | 52 | 80 | 1.861 | 0.2434 | 0.2434 | 0.6315 | 0.6315 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | New England College | D3 | LittleEast | — | 2 | 0 | 0 | 0 | 0.000 |
| 2020-21 | New England College | D3 | LittleEast | — | 6 | 1 | 3 | 4 | 0.667 |
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.