| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston Jr. Bandits | EHL | 40 | 3 | 4 | 7 | 0.175 | 0.0376 | 0.0385 | 0.0857 | 0.0877 |
| 2016-17 | Boston Jr. Bandits | EHL | 30 | 0 | 15 | 15 | 0.500 | 0.1073 | 0.1050 | 0.2449 | 0.2396 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Saint Michael's | D2 | — | SR | 26 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Saint Michael's | D2 | — | JR | 26 | 0 | 5 | 5 | 0.192 |
| 2017-18 | Saint Michael's | D2 | — | SO | 22 | 2 | 5 | 7 | 0.318 |
| 2016-17 | Saint Michael's | D2 | — | FR | 5 | 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.