| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | U.S. National U17 Team | NTDP-U18 | 4 | 0 | 1 | 1 | 0.250 | 0.1938 | 0.2004 | 0.9305 | 0.9622 |
| 2015-16 | Omaha Lancers | USHL | 9 | 1 | 3 | 4 | 0.444 | 0.2732 | 0.2915 | 1.3093 | 1.3971 |
| 2021-22 | HPK | Liiga | 22 | 2 | 6 | 8 | 0.364 | 0.9090 | 1.0030 | — | — |
| 2022-23 | — | Allsvenskan | 48 | 6 | 15 | 21 | 0.438 | 1.0938 | 1.1440 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Boston University | D1 | HockeyEast | — | 32 | 14 | 23 | 37 | 1.156 |
| 2018-19 | Boston University | D1 | HockeyEast | — | 38 | 6 | 14 | 20 | 0.526 |
| 2017-18 | Boston University | D1 | HockeyEast | — | 20 | 8 | 13 | 21 | 1.050 |
| 2016-17 | Boston University | D1 | HockeyEast | — | 38 | 13 | 24 | 37 | 0.974 |
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.