| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Niagara Falls PowerHawks | NA3HL | 47 | 26 | 53 | 79 | 1.681 | 0.2025 | 0.2010 | 0.5310 | 0.5270 |
| 2017-18 | Corpus Christi IceRays | NAHL | 6 | 0 | 1 | 1 | 0.167 | 0.0619 | 0.0589 | 0.1765 | 0.1679 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Buffalo State | D3 | SUNYAC | GR | 24 | 5 | 7 | 12 | 0.500 |
| 2021-22 | Buffalo State | D3 | SUNYAC | SR | 23 | 7 | 4 | 11 | 0.478 |
| 2020-21 | Buffalo State | D3 | SUNYAC | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Buffalo State | D3 | SUNYAC | SO | 24 | 2 | 6 | 8 | 0.333 |
| 2018-19 | Buffalo State | D3 | SUNYAC | FR | 25 | 3 | 5 | 8 | 0.320 |
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.