| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | New York Bobcats | EHL | 38 | 20 | 16 | 36 | 0.947 | 0.2033 | 0.2156 | 0.4639 | 0.4919 |
| 2016-17 | New Jersey Jr. Titans | NAHL | 6 | 1 | 1 | 2 | 0.333 | 0.1238 | 0.1232 | 0.3529 | 0.3512 |
| 2017-18 | New Jersey Jr. Titans | NAHL | 11 | 1 | 3 | 4 | 0.364 | 0.1350 | 0.1277 | 0.3850 | 0.3641 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Utica | D3 | UCHC | SR | 2 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Utica | D3 | UCHC | JR | 10 | 3 | 3 | 6 | 0.600 |
| 2019-20 | Utica | D3 | UCHC | SO | 10 | 2 | 3 | 5 | 0.500 |
| 2018-19 | Utica | D3 | UCHC | 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.