| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Chicago Steel | USHL | 60 | 16 | 29 | 45 | 0.750 | 0.4610 | 0.5030 | 2.2096 | 2.4107 |
| 2018-19 | Chicago Steel | USHL | 54 | 31 | 29 | 60 | 1.111 | 0.6830 | 0.7099 | 3.2735 | 3.4024 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Arizona State | D1 | NCHC | — | 38 | 11 | 31 | 42 | 1.105 |
| 2021-22 | Boston University | D1 | HockeyEast | — | 34 | 11 | 14 | 25 | 0.735 |
| 2020-21 | Boston University | D1 | HockeyEast | — | 15 | 3 | 5 | 8 | 0.533 |
| 2019-20 | Boston University | D1 | HockeyEast | — | 34 | 7 | 10 | 17 | 0.500 |
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.