| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | OJHL | 1 | 0 | 1 | 1 | 1.000 | 0.2451 | 0.2813 | 0.6885 | 0.7901 |
| 2017-18 | — | BCHL | 45 | 22 | 44 | 66 | 1.467 | 0.5651 | 0.6290 | 2.1345 | 2.3759 |
| 2018-19 | — | BCHL | 53 | 38 | 64 | 102 | 1.925 | 0.7415 | 0.7854 | 2.8007 | 2.9664 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Boston College | D1 | HockeyEast | — | 12 | 7 | 9 | 16 | 1.333 |
| 2019-20 | Boston College | D1 | HockeyEast | — | 34 | 19 | 23 | 42 | 1.235 |
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.