| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Philadelphia Flyers Elite | USPHL-Premier-Classic | 12 | 6 | 6 | 12 | 1.000 | 0.3003 | 0.3296 | 0.8237 | 0.9042 |
| 2016-17 | — | USPHL-Premier-Classic | 24 | 3 | 5 | 8 | 0.333 | 0.1001 | 0.1050 | 0.2745 | 0.2880 |
| 2017-18 | Utica Jr. Comets | USPHL-Premier | 27 | 18 | 18 | 36 | 1.333 | 0.1795 | 0.1750 | 0.4539 | 0.4426 |
| 2018-19 | Rochester Grizzlies | NA3HL | 41 | 41 | 28 | 69 | 1.683 | 0.2028 | 0.1858 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Wisconsin-Stout | D3 | BigTen | SO | 6 | 0 | 2 | 2 | 0.333 |
| 2019-20 | Wisconsin-Stout | D3 | BigTen | FR | 23 | 6 | 2 | 8 | 0.348 |
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.