| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | New Ulm Steel | NA3HL | 35 | 19 | 31 | 50 | 1.429 | 0.1721 | 0.1730 | 0.4513 | 0.4536 |
| 2017-18 | New Ulm Steel | NA3HL | 45 | 25 | 37 | 62 | 1.378 | 0.1660 | 0.1584 | 0.4352 | 0.4153 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wisconsin-Stout | D3 | WIAC | SR | 23 | 3 | 6 | 9 | 0.391 |
| 2020-21 | Wisconsin-Stout | D3 | BigTen | JR | 11 | 0 | 6 | 6 | 0.545 |
| 2019-20 | Wisconsin-Stout | D3 | BigTen | SO | 23 | 4 | 9 | 13 | 0.565 |
| 2018-19 | Wisconsin-Stout | D3 | BigTen | FR | 26 | 5 | 6 | 11 | 0.423 |
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.