| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Sioux City Musketeers | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Chicago Steel | USHL | 8 | 1 | 0 | 1 | 0.125 | 0.0737 | 0.0793 | 0.3754 | 0.4040 |
| 2015-16 | Chicago Steel | USHL | 55 | 16 | 21 | 37 | 0.673 | 0.3968 | 0.4086 | 2.0204 | 2.0804 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Wisconsin | D1 | BigTen | SR | 21 | 8 | 3 | 11 | 0.524 |
| 2018-19 | Wisconsin | D1 | BigTen | JR | 34 | 5 | 13 | 18 | 0.529 |
| 2017-18 | Wisconsin | D1 | BigTen | SO | 25 | 3 | 4 | 7 | 0.280 |
| 2016-17 | Wisconsin | D1 | BigTen | FR | 35 | 3 | 6 | 9 | 0.257 |
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.