| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | U.S. National U17 Team | NTDP-U18 | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | U.S. National U18 Team | NTDP-U18 | 62 | 4 | 20 | 24 | 0.387 | 0.2877 | 0.2825 | 1.4444 | 1.4184 |
| 2018-19 | Sioux City Musketeers | USHL | 33 | 1 | 8 | 9 | 0.273 | 0.1609 | 0.1625 | 0.8190 | 0.8269 |
| 2019-20 | Sudbury Wolves | OHL | 43 | 3 | 14 | 17 | 0.395 | 0.2287 | 0.2287 | 1.0157 | 1.0157 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Boston College | D1 | HockeyEast | — | 7 | 0 | 0 | 0 | 0.000 |
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.