| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | South Shore Kings | USPHL-Premier-Classic | 20 | 3 | 1 | 4 | 0.200 | 0.0601 | 0.0615 | 0.1647 | 0.1685 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Saint Anselm | D2 | NE10 | SR | 28 | 0 | 11 | 11 | 0.393 |
| 2018-19 | Saint Anselm | D2 | NE10 | JR | 31 | 4 | 9 | 13 | 0.419 |
| 2017-18 | Saint Anselm | D2 | NE10 | SO | 22 | 0 | 0 | 0 | 0.000 |
| 2016-17 | Saint Anselm | D2 | NE10 | FR | 26 | 0 | 2 | 2 | 0.077 |
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.