| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Fort Saskatchewan Traders | AJHL | 3 | 2 | 0 | 2 | 0.667 | 0.2236 | 0.2357 | 0.6168 | 0.6503 |
| 2006-07 | Fort Saskatchewan Traders | AJHL | 58 | 49 | 34 | 83 | 1.431 | 0.4800 | 0.4840 | 1.3240 | 1.3350 |
| 2017-18 | Barys Astana | KHL | 42 | 11 | 18 | 29 | 0.691 | 1.7263 | 1.5035 | 9.5123 | 8.2844 |
| 2018-19 | Barys Astana | KHL | 52 | 17 | 22 | 39 | 0.750 | 1.8750 | 1.5500 | 10.3320 | 8.5409 |
| 2019-20 | Ak Bars Kazan | KHL | 56 | 8 | 20 | 28 | 0.500 | 1.2500 | 1.2500 | 6.8880 | 6.8880 |
| 2020-21 | Barys Astana | KHL | 49 | 11 | 16 | 27 | 0.551 | 1.3775 | 1.3775 | 7.5906 | 7.5906 |
| 2021-22 | Barys Astana | KHL | 33 | 5 | 4 | 9 | 0.273 | 0.6817 | 0.4516 | 3.7567 | 2.4884 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | North Dakota | D1 | WCHA-orig | SR | 44 | 36 | 24 | 60 | 1.364 |
| 2009-10 | North Dakota | D1 | NCHC | JR | 24 | 11 | 8 | 19 | 0.792 |
| 2008-09 | North Dakota | D1 | NCHC | SO | 42 | 13 | 12 | 25 | 0.595 |
| 2007-08 | North Dakota | D1 | NCHC | FR | 43 | 4 | 11 | 15 | 0.349 |
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.