| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | AIK U20 | SHL-J20 | 5 | 2 | 2 | 4 | 0.800 | 0.4463 | 0.4893 | 1.1529 | 1.2639 |
| 2012-13 | Green Bay Gamblers | USHL | 49 | 1 | 7 | 8 | 0.163 | 0.1040 | 0.1085 | 0.4894 | 0.5104 |
| 2013-14 | Janesville Jets | NAHL | 59 | 14 | 24 | 38 | 0.644 | 0.2392 | 0.2467 | 0.6820 | 0.7035 |
| 2014-15 | Janesville Jets | NAHL | 55 | 29 | 23 | 52 | 0.946 | 0.3511 | 0.3438 | 1.0011 | 0.9802 |
| 2015-16 | Janesville Jets | NAHL | 56 | 19 | 36 | 55 | 0.982 | 0.3647 | 0.3409 | 1.0398 | 0.9720 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Michigan | D1 | BigTen | SR | 4 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Michigan | D1 | BigTen | JR | 27 | 4 | 1 | 5 | 0.185 |
| 2017-18 | Michigan | D1 | BigTen | SO | 39 | 3 | 5 | 8 | 0.205 |
| 2016-17 | Michigan | D1 | BigTen | FR | 30 | 8 | 8 | 16 | 0.533 |
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.