| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Trail Smoke Eaters | BCHL | 6 | 1 | 1 | 2 | 0.333 | 0.1284 | 0.1429 | 0.4851 | 0.5400 |
| 2009-10 | Vernon Vipers | BCHL | 56 | 19 | 28 | 47 | 0.839 | 0.3234 | 0.3424 | 1.2214 | 1.2931 |
| 2010-11 | Vernon Vipers | BCHL | 55 | 24 | 32 | 56 | 1.018 | 0.3923 | 0.3969 | 1.4818 | 1.4992 |
| 2011-12 | Spokane Chiefs | WHL | 34 | 10 | 14 | 24 | 0.706 | 0.3434 | 0.3212 | 1.7321 | 1.6199 |
| 2012-13 | Spokane Chiefs | WHL | 70 | 20 | 40 | 60 | 0.857 | 0.4170 | 0.3692 | 2.1031 | 1.8618 |
| 2013-14 | Univ. of Calgary | USports-M | 3 | 1 | 4 | 5 | 1.667 | 0.8794 | 0.9290 | 4.8851 | 5.1607 |
| 2014-15 | Univ. of Calgary | USports-M | 28 | 5 | 12 | 17 | 0.607 | 0.3203 | 0.3217 | 1.7794 | 1.7874 |
| 2015-16 | Univ. of Calgary | USports-M | 28 | 8 | 7 | 15 | 0.536 | 0.2826 | 0.2700 | 1.5701 | 1.4998 |
| 2016-17 | Univ. of Calgary | USports-M | 28 | 8 | 14 | 22 | 0.786 | 0.4145 | 0.3756 | 2.3029 | 2.0867 |
| 2018-19 | KRS-BSU Beijing | VHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | KRS-BSU Beijing | VHL | 51 | 6 | 8 | 14 | 0.275 | 0.4676 | 0.4676 | 2.0011 | 2.0011 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Northern Michigan | D1 | CCHA | FR | 19 | 2 | 6 | 8 | 0.421 |
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.