| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Sherwood Park Crusaders | AJHL | 3 | 1 | 0 | 1 | 0.333 | 0.1118 | 0.1285 | 0.3084 | 0.3544 |
| 2011-12 | Vernon Vipers | BCHL | 55 | 27 | 29 | 56 | 1.018 | 0.3923 | 0.4291 | 1.4818 | 1.6209 |
| 2012-13 | — | BCHL | 52 | 36 | 29 | 65 | 1.250 | 0.4816 | 0.5040 | 1.8191 | 1.9039 |
| 2013-14 | Calgary Hitmen | WHL | 31 | 17 | 22 | 39 | 1.258 | 0.6121 | 0.5958 | 3.0870 | 3.0047 |
| 2014-15 | Calgary Hitmen | WHL | 71 | 47 | 39 | 86 | 1.211 | 0.5893 | 0.5448 | 2.9722 | 2.7479 |
| 2019-20 | MoDo Hockey | Allsvenskan | 37 | 28 | 35 | 63 | 1.703 | 4.2568 | 4.2568 | 15.9746 | 15.9746 |
| 2020-21 | Rögle BK | SHL | 37 | 15 | 13 | 28 | 0.757 | 1.8920 | 1.8920 | 9.8752 | 9.8752 |
| 2021-22 | Rögle BK | SHL | 39 | 24 | 19 | 43 | 1.103 | 2.7565 | 2.6950 | 14.3874 | 14.0666 |
| 2022-23 | Rögle BK | SHL | 49 | 23 | 23 | 46 | 0.939 | 2.3470 | 2.2393 | 12.2500 | 11.6879 |
| 2023-24 | Rögle BK | SHL | 51 | 11 | 19 | 30 | 0.588 | 1.4705 | 1.3082 | 7.6752 | 6.8279 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | North Dakota | D1 | NCHC | FR | 16 | 2 | 2 | 4 | 0.250 |
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.