| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | USHL | 38 | 0 | 2 | 2 | 0.053 | 0.0323 | 0.0330 | 0.1550 | 0.1584 |
| 2017-18 | Sioux Falls Stampede | USHL | 33 | 0 | 5 | 5 | 0.151 | 0.0931 | 0.0905 | 0.4463 | 0.4339 |
| 2018-19 | Chippewa Steel | NAHL | 60 | 8 | 18 | 26 | 0.433 | 0.1717 | 0.1646 | 0.4549 | 0.4361 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Augsburg | D3 | MIAC | SR | 26 | 4 | 6 | 10 | 0.385 |
| 2021-22 | Augsburg | D3 | MIAC | JR | 30 | 8 | 9 | 17 | 0.567 |
| 2020-21 | Augsburg | D1 | — | SO | 5 | 2 | 3 | 5 | 1.000 |
| 2020-21 | Augsburg | D3 | MIAC | SO | 5 | 2 | 3 | 5 | 1.000 |
| 2019-20 | Augsburg | D1 | — | FR | 26 | 10 | 3 | 13 | 0.500 |
| 2019-20 | Augsburg | D3 | MIAC | FR | 26 | 10 | 3 | 13 | 0.500 |
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.