| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Surrey Eagles | BCHL | 50 | 7 | 11 | 18 | 0.360 | 0.1387 | 0.1535 | 0.5246 | 0.5806 |
| 2009-10 | Surrey Eagles | BCHL | 53 | 19 | 18 | 37 | 0.698 | 0.2690 | 0.2830 | 1.0172 | 1.0703 |
| 2010-11 | Surrey Eagles | BCHL | 47 | 13 | 23 | 36 | 0.766 | 0.2951 | 0.2967 | 1.1161 | 1.1221 |
| 2011-12 | Surrey Eagles | BCHL | 58 | 28 | 37 | 65 | 1.121 | 0.4318 | 0.4104 | 1.6330 | 1.5520 |
| 2018-19 | SaiPa | Liiga | 57 | 17 | 24 | 41 | 0.719 | 1.7983 | 1.7386 | — | — |
| 2019-20 | Tappara | Liiga | 37 | 14 | 24 | 38 | 1.027 | 2.5675 | 2.5675 | — | — |
| 2020-21 | — | SHL | 53 | 5 | 14 | 19 | 0.358 | 0.8962 | 0.8962 | — | — |
| 2021-22 | Tappara | Liiga | 48 | 12 | 23 | 35 | 0.729 | 1.8230 | 1.4091 | — | — |
| 2022-23 | Grizzlys Wolfsburg | DEL | 49 | 16 | 29 | 45 | 0.918 | 2.2960 | 2.0314 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Alaska Fairbanks | D1 | WCHA | SR | 29 | 18 | 12 | 30 | 1.034 |
| 2014-15 | Alaska Fairbanks | D1 | WCHA | JR | 32 | 15 | 22 | 37 | 1.156 |
| 2013-14 | Alaska Fairbanks | D1 | WCHA | — | 31 | 17 | 17 | 34 | 1.097 |
| 2012-13 | Alaska Fairbanks | D1 | — | FR | 37 | 10 | 11 | 21 | 0.568 |
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.