| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | — | USHL | 57 | 10 | 13 | 23 | 0.404 | 0.2380 | 0.2380 | 1.2119 | 1.2119 |
| 2015-16 | Pelicans | Liiga | 32 | 1 | 7 | 8 | 0.250 | 0.6250 | 0.6177 | 2.1490 | 2.1238 |
| 2016-17 | Pelicans | Liiga | 55 | 2 | 8 | 10 | 0.182 | 0.4545 | 0.4249 | 1.5628 | 1.4609 |
| 2017-18 | Ässät | Liiga | 57 | 3 | 7 | 10 | 0.175 | 0.4385 | 0.3798 | 1.5078 | 1.3058 |
| 2018-19 | Tappara | Liiga | 37 | 4 | 14 | 18 | 0.486 | 1.2163 | 1.0079 | 4.1820 | 3.4655 |
| 2019-20 | Tappara | Liiga | 56 | 2 | 5 | 7 | 0.125 | 0.3125 | 0.3125 | 1.0745 | 1.0745 |
| 2020-21 | Tappara | Liiga | 35 | 3 | 6 | 9 | 0.257 | 0.6427 | 0.6427 | 2.2101 | 2.2101 |
| 2022-23 | Pelicans | Liiga | 32 | 0 | 5 | 5 | 0.156 | 0.3905 | 0.2392 | 1.3427 | 0.8226 |
| 2023-24 | Pelicans | Liiga | 12 | 1 | 1 | 2 | 0.167 | 0.4167 | 0.2421 | 1.4330 | 0.8325 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | North Dakota | D1 | WCHA-orig | SR | 42 | 3 | 18 | 21 | 0.500 |
| 2010-11 | North Dakota | D1 | WCHA-orig | JR | 44 | 2 | 10 | 12 | 0.273 |
| 2009-10 | North Dakota | D1 | NCHC | SO | 43 | 5 | 9 | 14 | 0.326 |
| 2008-09 | North Dakota | D1 | NCHC | FR | 31 | 0 | 1 | 1 | 0.032 |
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.