| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Wilkes-Barre/Scranton Knights | EHL | 16 | 2 | 3 | 5 | 0.312 | 0.0671 | 0.0729 | 0.1530 | 0.1662 |
| 2015-16 | Philadelphia Revolution | EHL | 13 | 1 | 2 | 3 | 0.231 | 0.0495 | 0.0493 | 0.1130 | 0.1125 |
| 2016-17 | Bay State Bobcats | NA3HL | 45 | 52 | 70 | 122 | 2.711 | 0.3267 | 0.3012 | 0.8564 | 0.7896 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Utica | D3 | UCHC | SR | 10 | 9 | 15 | 24 | 2.400 |
| 2019-20 | Utica | D3 | UCHC | JR | 22 | 13 | 28 | 41 | 1.864 |
| 2018-19 | Utica | D3 | UCHC | SO | 28 | 10 | 12 | 22 | 0.786 |
| 2017-18 | Utica | D3 | UCHC | FR | 26 | 14 | 13 | 27 | 1.038 |
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.