| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Sioux Falls Stampede | USHL | 58 | 33 | 19 | 52 | 0.897 | 0.5289 | 0.5854 | 2.6928 | 2.9805 |
| 2015-16 | U.S. National U18 Team | NTDP-U18 | 62 | 50 | 31 | 81 | 1.306 | 0.9711 | 0.9521 | 4.8751 | 4.7795 |
| 2017-18 | Portland Winterhawks | WHL | 56 | 41 | 33 | 74 | 1.321 | 0.6429 | 0.6129 | 3.2423 | 3.0910 |
| 2025-26 | Brynäs IF | SHL | 52 | 15 | 15 | 30 | 0.577 | 1.4423 | 1.4423 | 7.5277 | 7.5277 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Boston University | D1 | HockeyEast | — | 34 | 7 | 7 | 14 | 0.412 |
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.