| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Salmon Arm Silverbacks | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2010-11 | Nanaimo Clippers | BCHL | 60 | 8 | 19 | 27 | 0.450 | 0.1734 | 0.1889 | 0.6539 | 0.7125 |
| 2011-12 | Prince George Spruce Kings | BCHL | 58 | 17 | 22 | 39 | 0.672 | 0.2591 | 0.2681 | 0.9771 | 1.0110 |
| 2012-13 | Victoria Grizzlies | BCHL | 41 | 23 | 18 | 41 | 1.000 | 0.3853 | 0.3805 | 1.4531 | 1.4349 |
| 2013-14 | Victoria Grizzlies | BCHL | 51 | 35 | 46 | 81 | 1.588 | 0.6119 | 0.5759 | 2.3078 | 2.1722 |
| 2020-21 | Västerviks IK | Allsvenskan | 23 | 7 | 10 | 17 | 0.739 | 1.8478 | 1.8478 | 6.9334 | 6.9334 |
| 2021-22 | IF Björklöven | Allsvenskan | 43 | 16 | 14 | 30 | 0.698 | 1.7443 | 1.4930 | 6.5451 | 5.6021 |
| 2022-23 | IF Björklöven | Allsvenskan | 49 | 20 | 22 | 42 | 0.857 | 2.1427 | 1.7136 | 8.0404 | 6.4302 |
| 2023-24 | AIK | Allsvenskan | 43 | 13 | 19 | 32 | 0.744 | 1.8605 | 1.4378 | 6.9813 | 5.3951 |
| 2024-25 | AIK | Allsvenskan | 41 | 13 | 24 | 37 | 0.902 | 2.2560 | 1.6055 | 8.4653 | 6.0245 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Bemidji State | D1 | WCHA | SR | 27 | 7 | 18 | 25 | 0.926 |
| 2016-17 | Bemidji State | D1 | WCHA | JR | 39 | 13 | 13 | 26 | 0.667 |
| 2015-16 | Bemidji State | D1 | WCHA | SO | 35 | 14 | 11 | 25 | 0.714 |
| 2014-15 | Bemidji State | D1 | CCHA | FR | 38 | 7 | 12 | 19 | 0.500 |
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.