| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | U.S. National U17 Team | NTDP-U18 | 49 | 11 | 11 | 22 | 0.449 | 0.3571 | 0.3571 | 1.6816 | 1.6816 |
| 2020-21 | — | NTDP-U18 | 52 | 14 | 13 | 27 | 0.519 | 0.4130 | 0.4130 | 1.9445 | 1.9445 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Colorado College | D1 | NCHC | — | 37 | 9 | 17 | 26 | 0.703 |
| 2022-23 | Boston University | D1 | HockeyEast | — | 40 | 3 | 18 | 21 | 0.525 |
| 2021-22 | Boston University | D1 | HockeyEast | — | 34 | 5 | 11 | 16 | 0.471 |
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.