| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Austin Bruins | NAHL | 40 | 5 | 6 | 11 | 0.275 | 0.1021 | 0.1081 | 0.2912 | 0.3083 |
| 2017-18 | Austin Bruins | NAHL | 60 | 4 | 23 | 27 | 0.450 | 0.1671 | 0.1686 | 0.4765 | 0.4809 |
| 2018-19 | Austin Bruins | NAHL | 54 | 14 | 22 | 36 | 0.667 | 0.2475 | 0.2387 | 0.7059 | 0.6808 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Utica | D3 | UCHC | SR | 29 | 12 | 24 | 36 | 1.241 |
| 2021-22 | Utica | D3 | UCHC | JR | 29 | 16 | 27 | 43 | 1.483 |
| 2020-21 | Utica | D3 | UCHC | SO | 10 | 5 | 9 | 14 | 1.400 |
| 2019-20 | Utica | D3 | UCHC | FR | 28 | 11 | 13 | 24 | 0.857 |
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.