| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Chilliwack Chiefs | BCHL | 59 | 34 | 55 | 89 | 1.508 | 0.5812 | 0.6150 | 2.1953 | 2.3228 |
| 2009-10 | Augsburger Panther | DEL | 56 | 26 | 34 | 60 | 1.071 | 2.6785 | 2.9931 | 9.0835 | 10.1505 |
| 2010-11 | Augsburger Panther | DEL | 48 | 23 | 47 | 70 | 1.458 | 3.6457 | 4.0088 | 12.3638 | 13.5951 |
| 2011-12 | Eisbären Berlin | DEL | 49 | 24 | 25 | 49 | 1.000 | 2.5000 | 2.5500 | 8.4782 | 8.6479 |
| 2012-13 | Eisbären Berlin | DEL | 34 | 15 | 17 | 32 | 0.941 | 2.3530 | 2.3346 | 7.9797 | 7.9173 |
| 2013-14 | Eisbären Berlin | DEL | 51 | 12 | 25 | 37 | 0.726 | 1.8138 | 1.7624 | 6.1509 | 5.9767 |
| 2014-15 | Eisbären Berlin | DEL | 52 | 10 | 26 | 36 | 0.692 | 1.7308 | 1.6155 | 5.8695 | 5.4785 |
| 2015-16 | Eisbären Berlin | DEL | 49 | 14 | 26 | 40 | 0.816 | 2.0408 | 1.7990 | 6.9208 | 6.1009 |
| 2016-17 | Eisbären Berlin | DEL | 40 | 13 | 18 | 31 | 0.775 | 1.9375 | 1.6709 | 6.5706 | 5.6666 |
| 2017-18 | ERC Ingolstadt | DEL | 52 | 17 | 19 | 36 | 0.692 | 1.7308 | 1.4624 | 5.8695 | 4.9592 |
| 2018-19 | ERC Ingolstadt | DEL | 46 | 9 | 14 | 23 | 0.500 | 1.2500 | 0.9426 | 4.2391 | 3.1968 |
| 2019-20 | ERC Ingolstadt | DEL | 47 | 2 | 11 | 13 | 0.277 | 0.6915 | 0.6915 | 2.3451 | 2.3451 |
| 2020-21 | Schwenninger Wild Wings | DEL | 15 | 1 | 5 | 6 | 0.400 | 1.0000 | 1.0000 | 3.3913 | 3.3913 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Northern Michigan | D1 | CCHA | SR | 41 | 14 | 20 | 34 | 0.829 |
| 2005-06 | Northern Michigan | D1 | CCHA | JR | 36 | 15 | 20 | 35 | 0.972 |
| 2004-05 | Northern Michigan | D1 | CCHA | SO | 40 | 9 | 34 | 43 | 1.075 |
| 2003-04 | Northern Michigan | D1 | CCHA | FR | 41 | 13 | 20 | 33 | 0.805 |
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.