| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Boston Jr. Rangers | EHL | 42 | 17 | 18 | 35 | 0.833 | 0.1788 | 0.1708 | 0.6901 | 0.6395 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Johnson & Wales | D3 | CNE | SR | 25 | 2 | 2 | 4 | 0.160 |
| 2016-17 | Johnson & Wales | D3 | CNE | JR | 27 | 4 | 5 | 9 | 0.333 |
| 2015-16 | Johnson & Wales | D3 | CNE | SO | 23 | 1 | 3 | 4 | 0.174 |
| 2014-15 | Johnson & Wales | D3 | CNE | FR | 27 | 5 | 4 | 9 | 0.333 |
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.