| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | New York Apple Core | EHL | 33 | 0 | 2 | 2 | 0.061 | 0.0213 | 0.0212 | 0.0297 | 0.0296 |
| 2016-17 | Atlanta Kings | USPHL-Elite | 24 | 2 | 10 | 12 | 0.500 | 0.0878 | 0.0811 | 0.1145 | 0.1058 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bryn Athyn | D3 | — | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Bryn Athyn | D3 | — | SO | 11 | 1 | 0 | 1 | 0.091 |
| 2017-18 | Bryn Athyn | D3 | — | FR | 12 | 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.