| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston Jr. Bruins | USPHL-Elite | 35 | 8 | 12 | 20 | 0.571 | 0.0685 | 0.0673 | 0.1312 | 0.1289 |
| 2016-17 | New England Stars | NA3HL | 37 | 25 | 24 | 49 | 1.324 | 0.1596 | 0.1471 | 0.4183 | 0.3856 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Framingham State | D3 | MASCAC | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Framingham State | D3 | MASCAC | JR | 24 | 6 | 4 | 10 | 0.417 |
| 2018-19 | Framingham State | D3 | MASCAC | SO | 24 | 6 | 8 | 14 | 0.583 |
| 2017-18 | Framingham State | D3 | MASCAC | FR | 19 | 5 | 8 | 13 | 0.684 |
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.