| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | NCDC | 30 | 9 | 13 | 22 | 0.733 | 0.2066 | 0.2097 | 1.5882 | 1.6015 |
| 2018-19 | — | NCDC | 50 | 21 | 38 | 59 | 1.180 | 0.3325 | 0.3185 | 0.9553 | 0.9151 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Utica | D3 | UCHC | SR | 29 | 11 | 19 | 30 | 1.034 |
| 2021-22 | Utica | D3 | UCHC | JR | 29 | 16 | 30 | 46 | 1.586 |
| 2020-21 | Utica | D3 | UCHC | SO | 10 | 6 | 7 | 13 | 1.300 |
| 2019-20 | Utica | D3 | UCHC | FR | 28 | 7 | 12 | 19 | 0.679 |
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.