| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Tri-City Storm | USHL | 8 | 0 | 1 | 1 | 0.125 | 0.0737 | 0.0804 | 0.3754 | 0.4093 |
| 2014-15 | Tri-City Storm | USHL | 49 | 15 | 15 | 30 | 0.612 | 0.3611 | 0.3759 | 1.8387 | 1.9143 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Wisconsin | D1 | BigTen | SR | 36 | 7 | 4 | 11 | 0.306 |
| 2017-18 | Wisconsin | D1 | BigTen | JR | 29 | 9 | 3 | 12 | 0.414 |
| 2016-17 | Wisconsin | D1 | BigTen | SO | 26 | 3 | 3 | 6 | 0.231 |
| 2015-16 | Wisconsin | D1 | BigTen | FR | 31 | 8 | 1 | 9 | 0.290 |
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.