| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Dodge County High (W) | USHS-MN-W | 24 | 1 | 5 | 6 | 0.250 | 0.0401 | 0.0401 | — | — |
| 2011-12 | Dodge County High (W) | USHS-MN-W | 25 | 4 | 20 | 24 | 0.960 | 0.1542 | 0.1542 | — | — |
| 2012-13 | Dodge County High (W) | USHS-MN-W | 24 | 4 | 22 | 26 | 1.083 | 0.1740 | 0.1740 | — | — |
| 2013-14 | Dodge County High (W) | USHS-MN-W | 23 | 3 | 4 | 7 | 0.304 | 0.0489 | 0.0489 | — | — |
| 2014-15 | Dodge County High (W) | USHS-MN-W | 25 | 11 | 25 | 36 | 1.440 | 0.2313 | 0.2313 | — | — |
| 2015-16 | Dodge County High (W) | USHS-MN-W | 25 | 13 | 26 | 39 | 1.560 | 0.2505 | 0.2505 | — | — |
| 2020-21 | TPS | SMLIIGA-W | 21 | 3 | 11 | 14 | 0.667 | 0.2528 | 0.2528 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Minnesota | D1 | WCHA-W | — | 36 | 3 | 0 | 3 | 0.083 |
| 2018-19 | Minnesota | D1 | WCHA-W | — | 22 | 2 | 1 | 3 | 0.136 |
| 2017-18 | Minnesota | D1 | WCHA-W | SO | 32 | 2 | 2 | 4 | 0.125 |
| 2016-17 | Minnesota | D1 | WCHA-W | FR | 31 | 3 | 1 | 4 | 0.129 |
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.