| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | AIK | SHL | 55 | 16 | 30 | 46 | 0.836 | 2.0910 | 2.2767 | — | — |
| 2013-14 | Jokerit | Liiga | 15 | 2 | 3 | 5 | 0.333 | 0.8332 | 0.8870 | — | — |
| 2014-15 | Linköping HC | SHL | 55 | 28 | 19 | 47 | 0.855 | 2.1362 | 2.0695 | — | — |
| 2015-16 | Linköping HC | SHL | 43 | 21 | 14 | 35 | 0.814 | 2.0350 | 1.8546 | — | — |
| 2016-17 | Linköping HC | SHL | 52 | 19 | 34 | 53 | 1.019 | 2.5480 | 2.1726 | — | — |
| 2018-19 | Linköping HC | SHL | 33 | 17 | 12 | 29 | 0.879 | 2.1970 | 1.6939 | — | — |
| 2019-20 | Linköping HC | SHL | 48 | 24 | 21 | 45 | 0.938 | 2.3438 | 2.3438 | — | — |
| 2020-21 | Linköping HC | SHL | 31 | 11 | 16 | 27 | 0.871 | 2.1775 | 2.1775 | — | — |
| 2021-22 | Linköping HC | SHL | 51 | 15 | 14 | 29 | 0.569 | 1.4215 | 0.9203 | — | — |
| 2022-23 | Linköping HC | SHL | 27 | 13 | 6 | 19 | 0.704 | 1.7592 | 1.0973 | — | — |
| 2023-24 | Linköping HC | SHL | 52 | 17 | 24 | 41 | 0.788 | 1.9712 | 1.1024 | — | — |
| 2024-25 | Linköping HC | SHL | 38 | 5 | 12 | 17 | 0.447 | 1.1185 | 0.5600 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Yale | D1 | ECAC | SR | 36 | 19 | 24 | 43 | 1.194 |
| 2009-10 | Yale | D1 | ECAC | JR | 34 | 27 | 14 | 41 | 1.206 |
| 2008-09 | Yale | D1 | ECAC | SO | 34 | 15 | 20 | 35 | 1.029 |
| 2007-08 | Yale | D1 | ECAC | FR | 27 | 11 | 12 | 23 | 0.852 |
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.