| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Chicago Steel | USHL | 40 | 1 | 2 | 3 | 0.075 | 0.0442 | 0.0432 | 0.2210 | 0.2160 |
| 2015-16 | Janesville Jets | NAHL | 50 | 8 | 14 | 22 | 0.440 | 0.1563 | 0.1508 | 0.4620 | 0.4459 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Wisconsin-Eau Claire | D1 | BigTen | SR | 28 | 16 | 17 | 33 | 1.179 |
| 2019-20 | Wisconsin-Eau Claire | D3 | BigTen | SR | 28 | 16 | 17 | 33 | 1.179 |
| 2018-19 | Wisconsin-Eau Claire | D1 | BigTen | JR | 28 | 4 | 17 | 21 | 0.750 |
| 2018-19 | Wisconsin-Eau Claire | D3 | BigTen | JR | 28 | 4 | 17 | 21 | 0.750 |
| 2017-18 | Wisconsin-Eau Claire | D3 | BigTen | SO | 25 | 9 | 8 | 17 | 0.680 |
| 2016-17 | Wisconsin-Eau Claire | D3 | BigTen | FR | 11 | 1 | 2 | 3 | 0.273 |
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.