| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Bay State Breakers | USPHL-Premier-Classic | 44 | 7 | 14 | 21 | 0.477 | 0.1433 | 0.1496 | 0.3932 | 0.4104 |
| 2015-16 | Islanders Hockey Club | USPHL-Premier-Classic | 36 | 3 | 9 | 12 | 0.333 | 0.1001 | 0.0996 | 0.2745 | 0.2731 |
| 2016-17 | Utica Jr. Comets | USPHL-Premier-Classic | 45 | 9 | 22 | 31 | 0.689 | 0.2069 | 0.1957 | 0.5674 | 0.5368 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Brockport | D3 | — | SO | 25 | 8 | 7 | 15 | 0.600 |
| 2018-19 | SUNY Brockport | D3 | — | FR | 26 | 5 | 5 | 10 | 0.385 |
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.