| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Waterloo Black Hawks | USHL | 48 | 15 | 15 | 30 | 0.625 | 0.3842 | 0.3897 | 1.8414 | 1.8678 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Boston College | D1 | HockeyEast | — | 32 | 15 | 24 | 39 | 1.219 |
| 2018-19 | Boston College | D1 | HockeyEast | — | 39 | 23 | 13 | 36 | 0.923 |
| 2017-18 | Boston College | D1 | HockeyEast | — | 37 | 9 | 19 | 28 | 0.757 |
| 2016-17 | Boston College | D1 | HockeyEast | — | 40 | 10 | 14 | 24 | 0.600 |
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.