| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Dubuque Fighting Saints | USHL | 28 | 3 | 1 | 4 | 0.143 | 0.0910 | 0.1007 | 0.4282 | 0.4739 |
| 2018-19 | Sioux City Musketeers | USHL | 17 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Minnesota Magicians | NAHL | 43 | 5 | 9 | 14 | 0.326 | 0.1209 | 0.1209 | 0.3447 | 0.3447 |
| 2020-21 | Fairbanks Ice Dogs | NAHL | 46 | 11 | 8 | 19 | 0.413 | 0.1533 | 0.1533 | 0.4373 | 0.4373 |
| 2021-22 | Fairbanks Ice Dogs | NAHL | 58 | 15 | 23 | 38 | 0.655 | 0.2433 | 0.2300 | 0.6937 | 0.6557 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augsburg | D3 | MIAC | SR | 21 | 1 | 2 | 3 | 0.143 |
| 2024-25 | Augsburg | D3 | MIAC | JR | 21 | 1 | 2 | 3 | 0.143 |
| 2023-24 | Augsburg | D3 | MIAC | SO | 24 | 2 | 7 | 9 | 0.375 |
| 2022-23 | Augsburg | D3 | MIAC | FR | 22 | 1 | 2 | 3 | 0.136 |
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.