| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | New Ulm Steel | NA3HL | 47 | 19 | 23 | 42 | 0.894 | 0.1077 | 0.1077 | 0.2823 | 0.2824 |
| 2019-20 | Chippewa Steel | NAHL | 5 | 1 | 0 | 1 | 0.200 | 0.0743 | 0.0743 | 0.2118 | 0.2118 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Wisconsin-Stout | D3 | WIAC | SR | 21 | 6 | 9 | 15 | 0.714 |
| 2023-24 | Wisconsin-Stout | D3 | WIAC | SR | 12 | 2 | 9 | 11 | 0.917 |
| 2022-23 | Wisconsin-Stout | D3 | WIAC | JR | 28 | 13 | 12 | 25 | 0.893 |
| 2021-22 | Wisconsin-Stout | D3 | WIAC | SO | 3 | 0 | 1 | 1 | 0.333 |
| 2020-21 | Wisconsin-Stout | D3 | BigTen | FR | 6 | 0 | 0 | 0 | 0.000 |
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.