| 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 | 52 | 2 | 11 | 13 | 0.250 | 0.1858 | 0.1935 | 0.9328 | 0.9714 |
| 2015-16 | U.S. National U18 Team | NTDP-U18 | 63 | 4 | 16 | 20 | 0.318 | 0.2360 | 0.2347 | 1.1847 | 1.1780 |
| 2023-24 | HIFK | Liiga | 56 | 10 | 37 | 47 | 0.839 | 2.0983 | 2.2175 | 7.2147 | 7.6247 |
| 2024-25 | HIFK | Liiga | 60 | 13 | 36 | 49 | 0.817 | 2.0417 | 2.0864 | 7.0204 | 7.1742 |
| 2025-26 | Örebro HK | SHL | 50 | 7 | 16 | 23 | 0.460 | 1.1500 | 1.1500 | 6.0024 | 6.0024 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Michigan | D1 | BigTen | SR | 36 | 1 | 8 | 9 | 0.250 |
| 2018-19 | Michigan | D1 | BigTen | JR | 28 | 0 | 6 | 6 | 0.214 |
| 2017-18 | Michigan | D1 | BigTen | SO | 40 | 1 | 7 | 8 | 0.200 |
| 2016-17 | Michigan | D1 | BigTen | FR | 35 | 1 | 6 | 7 | 0.200 |
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.