| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Coulee Region Chill | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Bismarck Bobcats | NAHL | 35 | 1 | 2 | 3 | 0.086 | 0.0315 | 0.0312 | 0.0905 | 0.0897 |
| 2018-19 | Amarillo Wranglers | NAHL | 17 | 1 | 0 | 1 | 0.059 | 0.0216 | 0.0205 | 0.0621 | 0.0588 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Augsburg | D3 | MIAC | GR | 27 | 5 | 11 | 16 | 0.593 |
| 2021-22 | Augsburg | D3 | MIAC | SR | 30 | 5 | 5 | 10 | 0.333 |
| 2020-21 | Augsburg | D1 | MIAC | JR | 5 | 0 | 2 | 2 | 0.400 |
| 2020-21 | Augsburg | D3 | MIAC | JR | 5 | 0 | 2 | 2 | 0.400 |
| 2019-20 | Augsburg | D1 | MIAC | SO | 25 | 0 | 4 | 4 | 0.160 |
| 2019-20 | Augsburg | D3 | MIAC | SO | 25 | 0 | 4 | 4 | 0.160 |
| 2018-19 | Augsburg | D1 | MIAC | FR | 14 | 0 | 2 | 2 | 0.143 |
| 2018-19 | Augsburg | D3 | MIAC | FR | 14 | 0 | 2 | 2 | 0.143 |
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.