| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Rögle BK U20 | SuperElit | 28 | 1 | 1 | 2 | 0.071 | 0.0282 | 0.0307 | 0.0970 | 0.1057 |
| 2006-07 | Linköping HC U20 | SuperElit | 34 | 0 | 2 | 2 | 0.059 | 0.0232 | 0.0241 | 0.0799 | 0.0831 |
| 2007-08 | Linköping HC U20 | SuperElit | 35 | 5 | 6 | 11 | 0.314 | 0.1240 | 0.1230 | 0.4269 | 0.4233 |
| 2015-16 | Frölunda HC | SHL | 42 | 1 | 3 | 4 | 0.095 | 0.2380 | 0.2288 | 1.2422 | 1.1941 |
| 2016-17 | Jokerit | KHL | 48 | 3 | 6 | 9 | 0.188 | 0.4688 | 0.4569 | 2.5835 | 2.5181 |
| 2017-18 | Jokerit | KHL | 54 | 1 | 3 | 4 | 0.074 | 0.1852 | 0.1726 | 1.0210 | 0.9515 |
| 2018-19 | Jokerit | KHL | 55 | 2 | 11 | 13 | 0.236 | 0.5910 | 0.5246 | 3.2573 | 2.8915 |
| 2019-20 | Jokerit | KHL | 24 | 1 | 0 | 1 | 0.042 | 0.1043 | 0.1043 | 0.5746 | 0.5746 |
| 2020-21 | Malmö Redhawks | SHL | 48 | 3 | 4 | 7 | 0.146 | 0.3645 | 0.3645 | 1.9025 | 1.9025 |
| 2021-22 | Malmö Redhawks | SHL | 42 | 3 | 0 | 3 | 0.071 | 0.1785 | 0.1245 | 0.9317 | 0.6497 |
| 2022-23 | Malmö Redhawks | SHL | 49 | 4 | 8 | 12 | 0.245 | 0.6122 | 0.4125 | 3.1956 | 2.1531 |
| 2023-24 | TPS | Liiga | 57 | 3 | 6 | 9 | 0.158 | 0.3948 | 0.2298 | 1.3573 | 0.7902 |
| 2024-25 | TPS | Liiga | 56 | 2 | 11 | 13 | 0.232 | 0.5803 | 0.3176 | 1.9952 | 1.0919 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | St. Cloud State | D1 | WCHA-orig | JR | 37 | 1 | 8 | 9 | 0.243 |
| 2009-10 | St. Cloud State | D1 | NCHC | SO | 43 | 6 | 6 | 12 | 0.279 |
| 2008-09 | St. Cloud State | D1 | NCHC | FR | 28 | 0 | 1 | 1 | 0.036 |
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.