| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | OJHL | 42 | 13 | 28 | 41 | 0.976 | 0.2933 | 0.3210 | 0.6682 | 0.7314 |
| 2017-18 | — | OJHL | 48 | 21 | 37 | 58 | 1.208 | 0.3630 | 0.3798 | 0.8271 | 0.8655 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston College | D1 | HockeyEast | — | 24 | 19 | 14 | 33 | 1.375 |
| 2020-21 | Boston College | D1 | HockeyEast | — | 24 | 6 | 13 | 19 | 0.792 |
| 2019-20 | Boston College | D1 | HockeyEast | — | 34 | 6 | 15 | 21 | 0.618 |
| 2018-19 | Boston College | D1 | HockeyEast | — | 35 | 6 | 7 | 13 | 0.371 |
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.