| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | HV71 | SDHL | 9 | 0 | 1 | 1 | 0.111 | 0.1299 | 0.1299 | — | — |
| 2013-14 | MoDo Hockey | SDHL | 26 | 0 | 2 | 2 | 0.077 | 0.0899 | 0.0899 | — | — |
| 2014-15 | MoDo Hockey | SDHL | 25 | 2 | 13 | 15 | 0.600 | 0.7017 | 0.7017 | — | — |
| 2015-16 | MoDo Hockey | SDHL | 35 | 1 | 6 | 7 | 0.200 | 0.2339 | 0.2339 | — | — |
| 2020-21 | Brynäs IF | SDHL | 34 | 1 | 5 | 6 | 0.176 | 0.2064 | 0.2064 | — | — |
| 2021-22 | Brynäs IF | SDHL | 34 | 0 | 7 | 7 | 0.206 | 0.2408 | 0.2408 | — | — |
| 2023-24 | Frölunda HC | SDHL | 36 | 1 | 7 | 8 | 0.222 | 0.2599 | 0.2176 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Maine | D1 | — | — | 35 | 0 | 4 | 4 | 0.114 |
| 2018-19 | Maine | D1 | — | — | 27 | 1 | 2 | 3 | 0.111 |
| 2017-18 | Maine | D1 | HEA-W | SO | 30 | 2 | 9 | 11 | 0.367 |
| 2016-17 | Maine | D1 | HEA-W | FR | 9 | 0 | 3 | 3 | 0.333 |
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.