| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | St. Paul Academy | USHS-MN | 24 | 15 | 31 | 46 | 1.917 | 0.2361 | 0.2629 | 0.4654 | 0.5182 |
| 2017-18 | Lincoln Stars | USHL | 57 | 16 | 17 | 33 | 0.579 | 0.3415 | 0.3621 | 1.7331 | 1.8375 |
| 2018-19 | — | USHL | 58 | 7 | 18 | 25 | 0.431 | 0.2542 | 0.2564 | 1.2903 | 1.3014 |
| 2019-20 | Minnesota Magicians | NAHL | 24 | 9 | 10 | 19 | 0.792 | 0.2813 | 0.2813 | 0.8351 | 0.8351 |
| 2020-21 | Minnesota Magicians | NAHL | 47 | 10 | 24 | 34 | 0.723 | 0.2570 | 0.2570 | 0.7630 | 0.7630 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin-Eau Claire | D3 | WIAC | FR | 6 | 1 | 0 | 1 | 0.167 |
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.