| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Rogers High | USHS-MN-W | 25 | 11 | 10 | 21 | 0.840 | 0.1349 | 0.1349 | — | — |
| 2011-12 | Rogers High | USHS-MN-W | 25 | 29 | 16 | 45 | 1.800 | 0.2891 | 0.2891 | — | — |
| 2012-13 | Rogers High | USHS-MN-W | 25 | 13 | 10 | 23 | 0.920 | 0.1478 | 0.1478 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Minnesota | D1 | WCHA-W | — | 37 | 7 | 15 | 22 | 0.595 |
| 2018-19 | Minnesota | D1 | WCHA-W | — | 30 | 2 | 11 | 13 | 0.433 |
| 2017-18 | Minnesota | D1 | WCHA-W | — | 10 | 2 | 3 | 5 | 0.500 |
| 2017-18 | Minnesota State | D1 | WCHA-W | JR | 10 | 2 | 3 | 5 | 0.500 |
| 2016-17 | Minnesota | D1 | WCHA-W | — | 32 | 7 | 7 | 14 | 0.438 |
| 2016-17 | Minnesota State | D1 | WCHA-W | SO | 32 | 7 | 7 | 14 | 0.438 |
| 2015-16 | Minnesota | D1 | WCHA-W | — | 36 | 6 | 10 | 16 | 0.444 |
| 2015-16 | Minnesota State | D1 | WCHA-W | FR | 36 | 6 | 10 | 16 | 0.444 |
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.