| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | HV71 U20 | SuperElit | 2 | 0 | 1 | 1 | 0.500 | 0.1973 | 0.2172 | 0.6888 | 0.7583 |
| 2016-17 | Waterloo Black Hawks | USHL | 48 | 13 | 19 | 32 | 0.667 | 0.3933 | 0.3970 | 2.0006 | 2.0193 |
| 2018-19 | Waterloo Black Hawks | USHL | 59 | 31 | 32 | 63 | 1.068 | 0.6299 | 0.5720 | 3.2041 | 2.9097 |
| 2021-22 | BIK Karlskoga | Allsvenskan | 49 | 3 | 5 | 8 | 0.163 | 0.4083 | 0.4472 | 1.5313 | 1.6773 |
| 2024-25 | Vimmerby HC | Allsvenskan | 1 | 0 | 1 | 1 | 1.000 | 2.5000 | 2.3777 | 9.3770 | 8.9182 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Sacred Heart | D1 | AHA | — | 10 | 1 | 2 | 3 | 0.300 |
| 2019-20 | Michigan | D1 | BigTen | — | 15 | 2 | 2 | 4 | 0.267 |
| 2017-18 | RPI | D1 | ECAC | FR | 31 | 2 | 9 | 11 | 0.355 |
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.