| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | EHL | 25 | 4 | 2 | 6 | 0.240 | 0.0554 | 0.0555 | 0.1174 | 0.1176 |
| 2018-19 | New York Apple Core | EHL | 40 | 9 | 0 | 9 | 0.225 | 0.0520 | 0.0495 | 0.1101 | 0.1048 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Johnson & Wales | D3 | CNE | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Johnson & Wales | D3 | CNE | — | 1 | 0 | 0 | 0 | 0.000 |
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.