| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Humboldt Broncos | SJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0578 | 0.0613 | 0.1506 | 0.1598 |
| 2015-16 | Carolina Jr. Hurricanes | USPHL-Elite | 44 | 25 | 50 | 75 | 1.704 | 0.2044 | 0.1966 | 0.3914 | 0.3765 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Utica | D3 | UCHC | GR | 8 | 1 | 3 | 4 | 0.500 |
| 2017-18 | Utica | D3 | UCHC | SR | 14 | 5 | 3 | 8 | 0.571 |
| 2016-17 | Daniel Webster | D3 | — | FR | 12 | 1 | 5 | 6 | 0.500 |
| 2016-17 | Utica | D3 | — | JR | 4 | 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.