| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Corpus Christi IceRays | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Philadelphia Revolution | EHL | 50 | 9 | 31 | 40 | 0.800 | 0.1170 | 0.1200 | 0.3922 | 0.4024 |
| 2018-19 | — | NAHL | 54 | 1 | 8 | 9 | 0.167 | 0.0592 | 0.0573 | 0.1750 | 0.1693 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alvernia | D3 | MAC | — | 27 | 2 | 3 | 5 | 0.185 |
| 2022-23 | Alvernia | D3 | MAC | — | 25 | 0 | 4 | 4 | 0.160 |
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | JR | 3 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Plattsburgh | D1 | — | FR | 26 | 3 | 7 | 10 | 0.385 |
| 2019-20 | SUNY Plattsburgh | D3 | — | FR | 26 | 3 | 7 | 10 | 0.385 |
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.