| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Syracuse Jr. Stars | USPHL-Elite | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Utica Jr. Comets | USPHL-Premier | 44 | 16 | 15 | 31 | 0.705 | 0.0921 | 0.0892 | 0.2391 | 0.2317 |
| 2018-19 | Utica Jr. Comets | USPHL-Premier | 44 | 16 | 24 | 40 | 0.909 | 0.1189 | 0.1089 | 0.3085 | 0.2825 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Morrisville | D1 | SUNYAC | FR | 11 | 0 | 0 | 0 | 0.000 |
| 2019-20 | SUNY Morrisville | D3 | SUNYAC | — | 11 | 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.