| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | U.S. National U17 Team | NTDP-U18 | 59 | 12 | 16 | 28 | 0.475 | 0.3680 | 0.3835 | 1.7664 | 1.8406 |
| 2007-08 | — | NTDP-U18 | 57 | 22 | 18 | 40 | 0.702 | 0.5442 | 0.5361 | 2.6120 | 2.5731 |
| 2008-09 | Omaha Lancers | USHL | 50 | 22 | 35 | 57 | 1.140 | 0.7008 | 0.7136 | 3.3587 | 3.4200 |
| 2017-18 | Dinamo Riga | KHL | 42 | 8 | 13 | 21 | 0.500 | 1.2500 | 1.2421 | — | — |
| 2018-19 | Brynäs IF | SHL | 10 | 0 | 4 | 4 | 0.400 | 1.0000 | 0.8827 | — | — |
| 2020-21 | Shanghai Dragons | KHL | 14 | 4 | 0 | 4 | 0.286 | 0.7143 | 0.7143 | — | — |
| 2021-22 | Västerviks IK | Allsvenskan | 15 | 4 | 5 | 9 | 0.600 | 1.5000 | 1.0447 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | North Dakota | D1 | WCHA-orig | SR | 40 | 26 | 26 | 52 | 1.300 |
| 2011-12 | North Dakota | D1 | WCHA-orig | JR | 42 | 19 | 26 | 45 | 1.071 |
| 2010-11 | North Dakota | D1 | WCHA-orig | SO | 34 | 8 | 20 | 28 | 0.824 |
| 2009-10 | North Dakota | D1 | — | FR | 41 | 15 | 21 | 36 | 0.878 |
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.