| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Northern Cyclones | EHLP | 41 | 4 | 15 | 19 | 0.463 | 0.0532 | 0.0521 | 0.1045 | 0.1024 |
| 2017-18 | Boston Jr. Bruins | USPHL-Premier | 32 | 0 | 5 | 5 | 0.156 | 0.0204 | 0.0198 | 0.0530 | 0.0515 |
| 2018-19 | New Jersey Rockets | USPHL-Premier | 42 | 8 | 11 | 19 | 0.452 | 0.0592 | 0.0544 | 0.1535 | 0.1410 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Nazareth | D3 | UCHC | — | 2 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Nazareth | D3 | UCHC | — | 1 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Nazareth | D3 | UCHC | — | 7 | 0 | 2 | 2 | 0.286 |
| 2019-20 | Bryn Athyn | D3 | — | FR | 8 | 0 | 1 | 1 | 0.125 |
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.