| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | USPHL-Elite | 32 | 3 | 9 | 12 | 0.375 | 0.0450 | 0.0434 | 0.0861 | 0.0830 |
| 2017-18 | Charlotte Rush | USPHL-Premier | 40 | 4 | 24 | 28 | 0.700 | 0.0942 | 0.0864 | 0.2383 | 0.2186 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Fredonia | D3 | SUNYAC | SR | 12 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Fredonia | D3 | — | SO | 15 | 1 | 0 | 1 | 0.067 |
| 2018-19 | Fredonia | D3 | — | FR | 5 | 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.