| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | — | NTDP-U18 | 68 | 10 | 16 | 26 | 0.382 | 0.2842 | 0.2867 | 1.4269 | 1.4393 |
| 2006-07 | U.S. National U18 Team | NTDP-U18 | 47 | 4 | 22 | 26 | 0.553 | 0.4112 | 0.3993 | 2.0642 | 2.0042 |
| 2014-15 | Metallurg Novokuznetsk | KHL | 53 | 4 | 10 | 14 | 0.264 | 0.6605 | 0.7098 | 3.6403 | 3.9119 |
| 2015-16 | Metallurg Novokuznetsk | KHL | 56 | 4 | 18 | 22 | 0.393 | 0.9823 | 0.9894 | 5.4137 | 5.4526 |
| 2016-17 | Rögle BK | SHL | 50 | 6 | 24 | 30 | 0.600 | 1.5000 | 1.3400 | 7.8292 | 6.9940 |
| 2017-18 | Rögle BK | SHL | 20 | 1 | 3 | 4 | 0.200 | 0.5000 | 0.4307 | 2.6097 | 2.2479 |
| 2018-19 | KalPa | Liiga | 41 | 3 | 10 | 13 | 0.317 | 0.7927 | 0.6505 | 2.7258 | 2.2368 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Minnesota | D1 | WCHA-orig | SR | 35 | 6 | 18 | 24 | 0.686 |
| 2009-10 | Minnesota | D1 | BigTen | JR | 39 | 4 | 17 | 21 | 0.538 |
| 2008-09 | Minnesota | D1 | BigTen | SO | 35 | 9 | 24 | 33 | 0.943 |
| 2007-08 | Minnesota | D1 | BigTen | FR | 40 | 2 | 13 | 15 | 0.375 |
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.