| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Waterloo Black Hawks | USHL | 10 | 3 | 2 | 5 | 0.500 | 0.2949 | 0.3174 | 1.5017 | 1.6164 |
| 2011-12 | Waterloo Black Hawks | USHL | 2 | 2 | 2 | 4 | 2.000 | 1.1798 | 1.2149 | 6.0068 | 6.1853 |
| 2012-13 | Waterloo Black Hawks | USHL | 54 | 29 | 58 | 87 | 1.611 | 0.9504 | 0.9281 | 4.8388 | 4.7251 |
| 2020-21 | Torpedo Nizhny Novgorod | KHL | 48 | 11 | 9 | 20 | 0.417 | 1.0417 | 1.0417 | 5.7416 | 5.7416 |
| 2021-22 | Leksands IF | SHL | 45 | 9 | 13 | 22 | 0.489 | 1.2223 | 1.1388 | 6.3795 | 5.9438 |
| 2022-23 | Leksands IF | SHL | 43 | 13 | 14 | 27 | 0.628 | 1.5697 | 1.4255 | 8.1932 | 7.4404 |
| 2023-24 | Leksands IF | SHL | 37 | 7 | 17 | 24 | 0.649 | 1.6215 | 1.3679 | 8.4633 | 7.1397 |
| 2024-25 | Leksands IF | SHL | 52 | 18 | 15 | 33 | 0.635 | 1.5865 | 1.2455 | 8.2806 | 6.5007 |
| 2025-26 | HV71 | SHL | 50 | 10 | 15 | 25 | 0.500 | 1.2500 | 1.2500 | 6.5243 | 6.5243 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota | D1 | BigTen | SR | 37 | 18 | 24 | 42 | 1.135 |
| 2015-16 | Minnesota | D1 | BigTen | JR | 37 | 16 | 27 | 43 | 1.162 |
| 2014-15 | Minnesota | D1 | BigTen | SO | 39 | 13 | 19 | 32 | 0.821 |
| 2013-14 | Minnesota | D1 | BigTen | FR | 41 | 16 | 16 | 32 | 0.780 |
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.