| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Syracuse Jr. Stars | USPHL-Elite | 39 | 5 | 4 | 9 | 0.231 | 0.0213 | 0.0223 | 0.0529 | 0.0553 |
| 2016-17 | Syracuse Jr. Stars | USPHL-Elite | 11 | 2 | 2 | 4 | 0.364 | 0.0336 | 0.0332 | 0.0833 | 0.0823 |
| 2017-18 | Utica Jr. Comets | USPHL-Premier | 44 | 7 | 20 | 27 | 0.614 | 0.0803 | 0.0755 | 0.2083 | 0.1959 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Amherst | D3 | NESCAC | — | 2 | 0 | 1 | 1 | 0.500 |
| 2021-22 | Amherst | D3 | NESCAC | — | 4 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Amherst | D1 | NESCAC | SO | 8 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Amherst | D3 | NESCAC | — | 8 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Amherst | D1 | NESCAC | FR | 4 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Amherst | D3 | NESCAC | — | 4 | 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.