| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | USHL | 43 | 2 | 2 | 4 | 0.093 | 0.0592 | 0.0658 | 0.2787 | 0.3097 |
| 2018-19 | — | USHL | 61 | 19 | 17 | 36 | 0.590 | 0.3758 | 0.3982 | 1.7687 | 1.8740 |
| 2019-20 | — | USHL | 44 | 28 | 25 | 53 | 1.204 | 0.7670 | 0.7670 | 3.6095 | 3.6095 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Boston College | D1 | HockeyEast | — | 34 | 13 | 16 | 29 | 0.853 |
| 2021-22 | Boston College | D1 | HockeyEast | — | 36 | 9 | 11 | 20 | 0.556 |
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.