| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Salmon Arm Silverbacks | BCHL | 52 | 13 | 39 | 52 | 1.000 | 0.3853 | 0.4258 | 1.4553 | 1.6084 |
| 2011-12 | Lev Poprad | KHL | 49 | 1 | 7 | 8 | 0.163 | 0.4083 | 0.4445 | 2.2501 | 2.4495 |
| 2012-13 | HC Slovan Bratislava | KHL | 45 | 3 | 9 | 12 | 0.267 | 0.6667 | 0.6870 | 3.6748 | 3.7865 |
| 2013-14 | HC Slovan Bratislava | KHL | 52 | 1 | 9 | 10 | 0.192 | 0.4808 | 0.4690 | 2.6496 | 2.5845 |
| 2014-15 | HC Slovan Bratislava | KHL | 38 | 0 | 1 | 1 | 0.026 | 0.0658 | 0.0611 | 0.3624 | 0.3365 |
| 2015-16 | Luleå HF | SHL | 46 | 2 | 12 | 14 | 0.304 | 0.7608 | 0.6131 | 3.9707 | 3.1996 |
| 2016-17 | Frölunda HC | SHL | 45 | 3 | 8 | 11 | 0.244 | 0.6110 | 0.4565 | 3.1891 | 2.3827 |
| 2017-18 | Frölunda HC | SHL | 51 | 5 | 7 | 12 | 0.235 | 0.5883 | 0.4207 | 3.0703 | 2.1957 |
| 2018-19 | Frölunda HC | SHL | 45 | 7 | 9 | 16 | 0.356 | 0.8890 | 0.5916 | 4.6401 | 3.0879 |
| 2019-20 | Brynäs IF | SHL | 51 | 3 | 10 | 13 | 0.255 | 0.6373 | 0.6373 | 3.3261 | 3.3261 |
| 2020-21 | — | SHL | 39 | 4 | 7 | 11 | 0.282 | 0.7053 | 0.7053 | 3.6810 | 3.6810 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Bowling Green | D1 | CCHA | SO | 35 | 3 | 13 | 16 | 0.457 |
| 2003-04 | Bowling Green | D1 | CCHA | FR | 37 | 3 | 12 | 15 | 0.405 |
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.