| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Omaha Lancers | USHL | 7 | 4 | 0 | 4 | 0.571 | 0.3639 | 0.3666 | 1.7123 | 1.7250 |
| 2019-20 | Krefeld Pinguine | DEL | 48 | 20 | 16 | 36 | 0.750 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wisconsin | D1 | BigTen | SR | 35 | 9 | 19 | 28 | 0.800 |
| 2015-16 | Wisconsin | D1 | BigTen | JR | 35 | 11 | 22 | 33 | 0.943 |
| 2014-15 | Wisconsin | D1 | BigTen | SO | 32 | 11 | 11 | 22 | 0.688 |
| 2013-14 | Wisconsin | D1 | BigTen | FR | 36 | 8 | 6 | 14 | 0.389 |
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.