| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Philadelphia Flyers Elite | USPHL-Premier-Classic | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Philadelphia Flyers Elite | USPHL-Premier-Classic | 38 | 26 | 20 | 46 | 1.210 | 0.3635 | 0.3699 | 0.9971 | 1.0146 |
| 2016-17 | — | USPHL-Premier-Classic | 27 | 18 | 15 | 33 | 1.222 | 0.3670 | 0.3556 | 1.0067 | 0.9753 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Trinity | D3 | NESCAC | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Trinity | D3 | NESCAC | JR | 27 | 4 | 5 | 9 | 0.333 |
| 2018-19 | Trinity | D3 | NESCAC | SO | 26 | 5 | 7 | 12 | 0.462 |
| 2017-18 | Trinity | D3 | NESCAC | FR | 20 | 2 | 5 | 7 | 0.350 |
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.