| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Omaha Lancers | USHL | 59 | 5 | 20 | 25 | 0.424 | 0.2499 | 0.2605 | 1.2714 | 1.3255 |
| 2006-07 | Omaha Lancers | USHL | 57 | 29 | 35 | 64 | 1.123 | 0.6623 | 0.6564 | 3.3692 | 3.3394 |
| 2014-15 | HK Sochi | KHL | 1 | 0 | 1 | 1 | 1.000 | 2.5000 | 2.5564 | 13.7760 | 14.0869 |
| 2017-18 | Eisbären Berlin | DEL | 51 | 14 | 19 | 33 | 0.647 | 1.6178 | 1.5955 | 5.4850 | 5.4093 |
| 2018-19 | Eisbären Berlin | DEL | 9 | 0 | 1 | 1 | 0.111 | 0.2777 | 0.2486 | 0.9417 | 0.8432 |
| 2019-20 | Eisbären Berlin | DEL | 45 | 14 | 19 | 33 | 0.733 | 1.8332 | 1.8332 | 6.2157 | 6.2157 |
| 2020-21 | Eisbären Berlin | DEL | 33 | 3 | 17 | 20 | 0.606 | 1.5152 | 1.5152 | 5.1375 | 5.1375 |
| 2021-22 | Kölner Haie | DEL | 42 | 7 | 13 | 20 | 0.476 | 1.1905 | 0.8523 | 4.0364 | 2.8898 |
| 2022-23 | Kölner Haie | DEL | 44 | 8 | 14 | 22 | 0.500 | 1.2500 | 0.8581 | 4.2382 | 2.9095 |
| 2023-24 | Kölner Haie | DEL | 22 | 1 | 2 | 3 | 0.136 | 0.3410 | 0.2166 | 1.1562 | 0.7344 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Northern Michigan | D1 | CCHA | JR | 40 | 19 | 30 | 49 | 1.225 |
| 2008-09 | Northern Michigan | D1 | CCHA | SO | 40 | 16 | 19 | 35 | 0.875 |
| 2007-08 | Northern Michigan | D1 | CCHA | FR | 39 | 21 | 17 | 38 | 0.974 |
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.