| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Penticton Vees | BCHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2009-10 | Penticton Vees | BCHL | 54 | 13 | 52 | 65 | 1.204 | 0.4638 | 0.5000 | 1.7517 | 1.8883 |
| 2010-11 | Penticton Vees | BCHL | 58 | 20 | 62 | 82 | 1.414 | 0.5447 | 0.5616 | 2.0575 | 2.1214 |
| 2020-21 | Rögle BK | SHL | 12 | 2 | 3 | 5 | 0.417 | 1.0417 | 1.0417 | 5.4374 | 5.4374 |
| 2021-22 | Timrå IK | SHL | 52 | 9 | 29 | 38 | 0.731 | 1.8270 | 1.5712 | 9.5359 | 8.2009 |
| 2022-23 | — | SHL | 49 | 18 | 20 | 38 | 0.775 | 1.9387 | 1.6215 | 10.1192 | 8.4634 |
| 2024-25 | HV71 | SHL | 33 | 3 | 23 | 26 | 0.788 | 1.9698 | 1.4051 | 10.2810 | 7.3334 |
| 2025-26 | Djurgårdens IF | SHL | 50 | 13 | 27 | 40 | 0.800 | 2.0000 | 2.0000 | 10.4389 | 10.4389 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Denver | D1 | NCHC | SR | 37 | 15 | 25 | 40 | 1.081 |
| 2013-14 | Denver | D1 | NCHC | JR | 37 | 12 | 12 | 24 | 0.649 |
| 2012-13 | Denver | D1 | WCHA-orig | SO | 39 | 11 | 18 | 29 | 0.744 |
| 2011-12 | Denver | D1 | WCHA-orig | FR | 43 | 11 | 27 | 38 | 0.884 |
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.