| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | St. Paul Academy | USHS-MN | 25 | 18 | 35 | 53 | 2.120 | 0.5707 | 0.6033 | 0.5149 | 0.5443 |
| 2016-17 | St. Cloud Norsemen | NAHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | — | NA3HL | 38 | 18 | 30 | 48 | 1.263 | 0.1522 | 0.1560 | — | — |
| 2018-19 | Mason City Toros | NA3HL | 44 | 17 | 43 | 60 | 1.364 | 0.1643 | 0.1598 | 0.4308 | 0.4190 |
| 2019-20 | Mason City Toros | NA3HL | 45 | 25 | 42 | 67 | 1.489 | 0.1794 | 0.1794 | 0.4703 | 0.4703 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wisconsin-Stout | D3 | WIAC | SR | 27 | 5 | 4 | 9 | 0.333 |
| 2022-23 | Wisconsin-Stout | D3 | WIAC | JR | 28 | 8 | 19 | 27 | 0.964 |
| 2021-22 | Wisconsin-Stout | D3 | WIAC | SO | 27 | 3 | 12 | 15 | 0.556 |
| 2020-21 | Wisconsin-Stout | D3 | BigTen | FR | 11 | 2 | 4 | 6 | 0.545 |
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.