| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Elk River/Zimmerman (women) | USHS-MN-W | 24 | 8 | 8 | 16 | 0.667 | 0.1071 | 0.1071 | — | — |
| 2011-12 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 11 | 7 | 18 | 0.720 | 0.1156 | 0.1156 | — | — |
| 2012-13 | Grand Rapids-Greenway | USHS-MN-W | 25 | 17 | 25 | 42 | 1.680 | 0.2698 | 0.2698 | — | — |
| 2013-14 | Grand Rapids-Greenway | USHS-MN-W | 23 | 26 | 25 | 51 | 2.217 | 0.3561 | 0.3561 | — | — |
| 2014-15 | Grand Rapids-Greenway | USHS-MN-W | 25 | 24 | 28 | 52 | 2.080 | 0.3340 | 0.3340 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Minnesota | D1 | WCHA-W | — | 35 | 3 | 10 | 13 | 0.371 |
| 2017-18 | Minnesota | D1 | WCHA-W | — | 34 | 9 | 8 | 17 | 0.500 |
| 2017-18 | Minnesota State | D1 | WCHA-W | JR | 34 | 9 | 8 | 17 | 0.500 |
| 2016-17 | Minnesota | D1 | WCHA-W | — | 37 | 3 | 5 | 8 | 0.216 |
| 2016-17 | Minnesota State | D1 | WCHA-W | SO | 37 | 3 | 5 | 8 | 0.216 |
| 2015-16 | Minnesota | D1 | WCHA-W | — | 34 | 5 | 5 | 10 | 0.294 |
| 2015-16 | Minnesota State | D1 | WCHA-W | FR | 34 | 5 | 5 | 10 | 0.294 |
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.