| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Fargo Force | USHL | 33 | 7 | 4 | 11 | 0.333 | 0.1966 | 0.2111 | 0.9820 | 1.0543 |
| 2011-12 | Fargo Force | USHL | 51 | 28 | 31 | 59 | 1.157 | 0.6825 | 0.7009 | 3.4085 | 3.5004 |
| 2017-18 | IF Björklöven | Allsvenskan | 43 | 15 | 18 | 33 | 0.767 | 1.9185 | 2.0556 | — | — |
| 2018-19 | Luleå HF | SHL | 30 | 5 | 7 | 12 | 0.400 | 1.0000 | 1.0526 | — | — |
| 2019-20 | Luleå HF | SHL | 22 | 3 | 2 | 5 | 0.227 | 0.5683 | 0.5683 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Minnesota Duluth | D1 | NCHC | SR | 37 | 15 | 16 | 31 | 0.838 |
| 2014-15 | Minnesota Duluth | D1 | NCHC | JR | 40 | 8 | 16 | 24 | 0.600 |
| 2013-14 | Minnesota Duluth | D1 | NCHC | — | 31 | 7 | 10 | 17 | 0.548 |
| 2012-13 | Minnesota Duluth | D1 | WCHA-orig | — | 36 | 16 | 18 | 34 | 0.944 |
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.