| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Willmar WarHawks | NA3HL | 40 | 9 | 7 | 16 | 0.400 | 0.0482 | 0.0504 | 0.1264 | 0.1323 |
| 2017-18 | Willmar WarHawks | NA3HL | 43 | 16 | 17 | 33 | 0.767 | 0.0925 | 0.0921 | 0.2424 | 0.2414 |
| 2018-19 | New Ulm Steel | NA3HL | 46 | 13 | 20 | 33 | 0.717 | 0.0864 | 0.0815 | 0.2266 | 0.2137 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Lawrence | D3 | NCHA | GR | 15 | 0 | 2 | 2 | 0.133 |
| 2022-23 | Lawrence | D3 | NCHA | SR | 23 | 5 | 2 | 7 | 0.304 |
| 2021-22 | Lawrence | D3 | NCHA | JR | 18 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Lawrence | D3 | NCHA | SO | 8 | 1 | 0 | 1 | 0.125 |
| 2019-20 | Lawrence | D3 | NCHA | FR | 12 | 2 | 1 | 3 | 0.250 |
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.