| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| 2006-07 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| 2007-08 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| 2008-09 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| 2009-10 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| 2010-11 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| 2011-12 | Pittsburgh Jr. Penguins | NA3HL | 47 | 25 | 25 | 50 | 1.064 | 0.1335 | 0.1497 | 0.3358 | 0.3766 |
| 2012-13 | Pittsburgh Vengeance | NA3HL | 48 | 32 | 32 | 64 | 1.333 | 0.1673 | 0.1793 | 0.4209 | 0.4511 |
| 2013-14 | Pittsburgh Vengeance | NA3HL | 3 | 3 | 4 | 7 | 2.333 | 0.2928 | 0.3024 | 0.7366 | 0.7608 |
| 2014-15 | Michigan Warriors | NAHL | 58 | 15 | 15 | 30 | 0.517 | 0.1900 | 0.1884 | 0.5459 | 0.5414 |
| 2015-16 | Lone Star Brahmas | NAHL | 59 | 33 | 22 | 55 | 0.932 | 0.3425 | 0.3245 | 0.9839 | 0.9322 |
| 2024-25 | Jukurit | Liiga | 50 | 4 | 16 | 20 | 0.400 | 1.0000 | 0.8608 | 3.4384 | 2.9597 |
| 2025-26 | Eisbären Regensburg | DEL2 | 46 | 16 | 22 | 38 | 0.826 | 1.1066 | 1.1388 | 1.4824 | 1.5255 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Colorado College | D1 | NCHC | — | 34 | 4 | 13 | 17 | 0.500 |
| 2018-19 | Colorado College | D1 | NCHC | — | 40 | 9 | 8 | 17 | 0.425 |
| 2017-18 | Colorado College | D1 | NCHC | — | 12 | 1 | 2 | 3 | 0.250 |
| 2016-17 | Colorado College | D1 | NCHC | — | 35 | 6 | 6 | 12 | 0.343 |
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.