| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Connecticut Nighthawks | EHL | 33 | 4 | 10 | 14 | 0.424 | 0.0910 | 0.0898 | 0.2077 | 0.2049 |
| 2016-17 | Philadelphia Revolution | EHL | 30 | 3 | 24 | 27 | 0.900 | 0.1931 | 0.1818 | 0.4407 | 0.4148 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Bryn Athyn | D3 | — | FR | 20 | 8 | 4 | 12 | 0.600 |
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.